[UAI] Postdoc position: knowledge representation -- collaboration between Scienomics/Paris and IRIT/Toulouse
[This email originated from outside of OSU. Use caution with links and attachments.] (apologies for multiple posts) Dear all, We are (urgently) recruiting a post-doc in the context of a collaboration with Scienomics/Paris and IRIT/Toulouse (see details below). Best regards, Cassia Trojahn --- Post-doctoral position: Knowledge representation for materials discovery and product development Context: Collaboration between Scienomics/Paris and IRIT/Toulouse SCIENOMICS is an enterprise specialized in materials simulations and currently is developing SIMAGORA, an online marketplace offering virtual experiments for the eco-conception and development of products, and the materials needed. SIMAGORA allows the interoperability between simulation engines from diverse domains. The aim is to democratize simulation technology and will provide to the international scientific community the capability to offer cutting-edge virtual experimentation technology to all companies worldwide. In the context of a collaboration with IRIT, the aim is to leverage semantic components in SIMAGORA, in particular ontologies for representing the products studied and documenting simulations; approaches for matching ontologies, and for matching user queries and ontology content. Artificial Intelligence units will be built in order to identify and suggest simulation scenarios based on user’s requirements. - Post-doc tasks - This post-doc involves the generation of simulation scenarios (structured graphs in the simulation space) based on ontologies, matching of scenarios and treatment of NLP user queries: (a) research and development in ontologies that will allow to capture product design and materials knowledge; (b) research and development of matching of ontologies of simulations; (c) research and development in artificial intelligent related to user/machine interaction and approaches for matching user queries and ontology description through graph search and making suggestions. - Requirements for this position - Applicants should be enthusiastic to work in a disruptive project that ambitions to address critical social and industrial issues related to product impact on environment while at the same time offering equal opportunities to all businesses and scientists worldwide. Applicants are required to have a PhD in Computer Science, a strong background in semantic web technologies, ontology engineering, ontology construction and reasoning. Fluency in written / spoken English is required too. A good publication record and strong programming skills will be a plus. Capability to integrate a diverse group of people and supervise research and development work of PhD candidates. - Work environment - Localization : Scienomics, 16 rue de l’Arcade, 75008 Paris, FRANCE with short visits at IRIT, Institut de Recherche en Informatique de Toulouse (IRIT) - UPS, 118 Route de Narbonne F-31062 Toulouse Cedex, FRANCE. Duration : 12 months, starting ASAP – 3 months of trying. Salary between 2 131 and 3 338 euros (depending on experience) - How to apply - Applications will be accepted until the position is closed. Applicants should send a full Curriculum including a complete list of publications, a cover letter indicating their research interests, achievements to date and vision for the future, as well as either support letters or the name of 2 persons that have worked with them. Contact: Cassia Trojahn and Scienomics ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] Postdoc position: knowledge representation -- collaboration between Scienomics/Paris and IRIT/Toulouse
(apologies for multiple posts) Dear all, We are (urgently) recruiting a post-doc in the context of a collaboration with Scienomics/Paris and IRIT/Toulouse (see details below). Best regards, Cassia Trojahn --- Post-doctoral position: Knowledge Representation for materials discovery and product development Context: Collaboration between Scienomics/Paris and IRIT/Toulouse In product development materials are selected and designed based on several criteria including performance, cost of production, availability, recyclability, and others. It is commonly accepted that the chemical space covers at least 1063 molecules making therefore the discovery of new materials with optimal design an impossible task to be performed following exhaustive screening and testing. Learning from known chemicals, translating the design requirements of the products and the constraints of the related processes into requirements for the materials to be discovered and testing then using virtual experiments is a viable route to follow. SCIENOMICS is developing SIMAGORA, an online marketplace offering virtual experiments for the eco-conception and development of products, and the materials needed. It implements no-code concepts and allows interoperability between simulation engines from diverse domains. The aim is to democratize simulation technology and will provide to the international scientific community the capability to offer cutting-edge virtual experimentation technology to all companies worldwide. ** Post-doc tasks ** In SIMAGORA semantics will play an important role since it will allow to gather experience and expertise available and implemented in technology that will be used to assist SIMAGORA users to take decisions. Ontologies are one of the critical technologies since they provide a formal ground for a self-guided online AI agent employing decision algorithms and provides automated virtual experimentation strategies for materials discovery and product development. This post-doc will have the main task of performing research and development activities for enabling semantics-aware data access, integration of heterogeneous sources and interpretation in terms of product design objectives in SIMAGORA. It involves the generation of simulation scenarios (structured graphs in the simulation space) based on ontologies rather than building them ad hoc. Therefore, the project consists of three main activities: (a) research and development in ontologies that will allow to capture product design and materials knowledge; (b) conceive methodologies to develop and evaluate knowledge graphs and (c) contribute to the conception of an AI agent, “robo-advisor”, capable to assist in materials discovery and product development through virtual experimentation execution. ** Requirements for this position ** Applicants are required to have a PhD in Computer Science, a strong background in semantic web technologies, ontology engineering, ontology construction and reasoning. Fluency in written / spoken English is required too. A good publication record and strong programming skills will be a plus.Capability to integrate a diverse group of people and supervise research and development work of PhD candidates. ** Work environment ** Localization : Scienomics, 16 rue de l’Arcade, 75008 Paris, FRANCE with short visits at IRIT, Institut de Recherche en informatique de Toulouse (IRIT) - UPS, 118 Route de Narbonne F-31062 Toulouse Cedex, FRANCE. Duration : 12 months, starting ASAP – 3 months of trying. Salary between 2 131 and 3 338 euros (depending on experience) ** How to apply ** Applications will be accepted until the position is closed. Applicants should send a full Curriculum including a complete list of publications, a cover letter indicating their research interests, achievements to date and vision for the future, as well as either support letters or the name of 2 persons that have worked with them. Contact: Cassia Trojahn and Scienomics ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] 2nd CfP: Onto4FAIR Workshop at SEMANTICS 2022 (deadline extension)
** With apologies for multiple posting ** -- Onto4FAIR Workshop at SEMANTICS 2022 -- 1st Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR) in conjunction with SEMANTiCS 2022, Vienna, Austria Website: https://onto4fair.github.io -- Important dates -- - **July 04, 2022 (11:59 pm, Hawaii time)**: Submission deadline (extension) - July 30, 2022 (11:59 pm, Hawaii time): Notification of acceptance - August 15, 2022 (11:59 pm, Hawaii time): Camera-ready version - September 13, 2022: Workshop The workshop is planned to take place physically in Vienna, Austria. https://2022-eu.semantics.cc/venue -- Presentation -- Making the huge and diverse kinds of data produced by researchers, data stewards, and service providers, fully reusable and understood requires specific efforts. The Findable, Accessible, Interoperable and Reusable (FAIR) principles were elaborated to address these issues, describing a set of requirements for data reusability and interoperability. These principles have been gaining increasing attention in a range of different areas and applications, including in the industrial area. A key aspect in making data FAIR is the ability of machines to automatically find, access, interoperate, and reuse data with none or minimal human intervention. For that, the ability of properly and semantically describing data is essential. The workshop has the following main goals: - to bring together leaders from academia, industry and user institutions to discuss the adoption of FAIR principles in real-world requirements. - to serve to inform industry and user representatives about existing research efforts that may meet their requirements. - to investigate how the FAIR principles are supported by the use of schemes, vocabulaires, and ontologies that ideally are themselves FAIR.%, including creation, reuse and alignment of schemas, vocabularies and ontologies, to support the FAIR principles and their adoption in diverse areas of application. - to discuss the challenges and perspectives in adopting FAIR principles. -- Workshop topics -- The topics of interest include, but are not limited to, the following: - schemes, ontologies and vocabulaires for FAIR data and metadata; - domain and cross-domain ontologies for FAIR data; - making vocabularies and ontologies FAIR; - alignment of schemes, vocabulaires and ontologies for FAIR; - data management for FAIR data; - best practices for implementing the FAIR principles; - FAIRification process and use cases; - metrics for FAIRness assessment; - provenance in FAIR environments; - FAIR principles and open science; - FAIR principles and linked open data; - FAIR in industry, scientific communities (life science, digital humanities, health, smart cities, etc.). -- Submissions -- - Full research papers: 12 pages (including references). - Short papers: 6 pages (including references). Please submit your contribution on EasyChair (https://easychair.org/conferences/submissions?a=28690100). Submissions must be in PDF, formatted in the style of LNCS conference proceedings. The workshop proceedings will be published in the CEUR-WS.org online proceedings. -- Workshop Chairs -- - Luiz Olavo Bonino da Silva Santos, University of Twente and Leiden University Medical Center, the Netherlands - Giancarlo Guizzardi, Free University of Bozen-Bolzano, Italy & University of Twente, the Netherlands - Clement Jonquet, French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and STatistics for Environment and Agronomy research unit, Montpellier, France - Cassia Trojahn, Institut de Recherche en Informatique de Toulouse, France -- Program Committee -- (to be completed) Joao Paulo Almeida, Federal University of Espirito Santo Emna Amdouni, Université de Lyon 2 NathalieAussenac-Gilles, IRIT CNRS Maria Luiza Campos, PPGI - IM/NCE - Federal University of Rio de Janeiro Daniel Garijo, Universidad Politécnica de Madrid María Poveda-Villalón, Universidad Politécnica de Madrid Tiago Prince Sales, Free University of Bozen-Bolzano ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] Postdoc position : knowledge representation IRIT - Airbus
(apologies for multiple posts) Dear all, We are (urgently) recruiting at the Institute of Research in Informatics of Toulouse (IRIT, France) a post-doc in the context of a collaboration with Airbus (see details below). Best regards, Nathalie Hernandez and Cassia Trojahn --- *Context: Collaboration between IRIT and Airbus on the Digital Design, Manufacturing and Services Transformation project* Digital Design, Manufacturing and Services (DDMS) is the project that aims at transforming Airbus methods, processes and tools with the objectif of improving the strategic axes of the company: from the ability to develop a new product more quickly to its reduction of the ecological footprint. The issues of knowledge representation and sharing are at the heart of the capacities to be implemented in order to succeed in this development. In DDMS, the Modeling & Simulation department is therefore working to have the necessary foundations, in terms of methods and tools, for the knowledge representation and sharing, in relation with other Airbus entities in order to implement an industrial solution. ** Description ** As part of the development of DDMS capabilities in 2021, the tasks that are to be taken into account are the following : * to align different domain ontologies * to implement a domain ontology validation mechanism, particularly through the useof shape constraints (SHACL) * to enable the semantic integration of data (development of an Ontology Based Data Access service). For each task, the expected activities are: * the application of knowledge representation to solve the problems of a pilot business application use case in the Airbus environment * the synthesis of a methodological approach and an architectural solution based on this casea generalized framework to respond to this problem in other areas by applying the methodological principles acquired and synthesized previously. The proposed pilot case is Flight Dynamics and Sizing, which is responsible, in conjunction with pre-projects and industrialization, for sizing the aircraft according to loads, mass, aerodynamic forces, flight controls in particular. It is expected to continue on themes such as: * Automatic publication of ontology documentation * Managing the criticality of data in ontologies * Reasoning in the service of extending data sets and checking the consistency of information * Semantic search in data Searching for ontologies in catalogs (notably using dcat) ** Requirements for this position ** Applicants are required to have a PhD in Computer Science, a strong background in semantic web technologies, ontology engineering, linked data management and query, and if possible, in ontology alignment. Fluency in written / spoken English is required too. A good publication record and strong programing skills will be a plus. ** Work environment ** Localization : Institut de Recherche en Informatique de Toulouse (IRIT) – Universite Toulouse - Jean Jaures / Maison de la Recherche, 5, allees Antonio Machado 31058 Toulouse, and Airbus (St Martin du Touch). ** Duration ** : 9 months, starting ASAP - probability of renewal 9 to 12 months. Salary between 2 663 to 3953 (depending on experience). ** How to apply ** Applications will be accepted until the position is closed. Applicants should send a full Curriculum including a complete list of publications, a cover letter indicating their research interests, achievements to date and vision for the future, as well as either support letters or the name of 2 persons that have worked with them. Contact: Nathalie Hernandez and Cassia Trojahn ** Full description ** : https://bit.ly/37HTKJN ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] Postdoc position : knowledge representation IRIT - Airbus
(apologies for multiple posts) Dear all, We are recruiting at the Institute of Research in Informatics of Toulouse (IRIT, France) a post-doc in the context of a collaboration with Airbus (see details below). Best regards, Nathalie Hernandez and Cassia Trojahn *Context: Collaboration between IRIT and Airbus on the Digital Design, Manufacturing and Services Transformation project* Digital Design, Manufacturing and Services (DDMS) is the project that aims at transforming Airbus methods, processes and tools with the objectif of improving the strategic axes of the company: from the ability to develop a new product more quickly to its reduction of the ecological footprint. The issues of knowledge representation and sharing are at the heart of the capacities to be implemented in order to succeed in this development. In DDMS, the Modeling & Simulation department is therefore working to have the necessary foundations, in terms of methods and tools, for the knowledge representation and sharing, in relation with other Airbus entities in order to implement an industrial solution. *Description* As part of the development of DDMS capabilities in 2021, the tasks that are to be taken into account are the following : * to align different domain ontologies * to implement a domain ontology validation mechanism, particularly through the useof shape constraints (SHACL) * to enable the semantic integration of data (development of an Ontology Based Data Access service). For each task, the expected activities are: * the application of knowledge representation to solve the problems of a pilot business application use case in the Airbus environment * the synthesis of a methodological approach and an architectural solution based on this casea generalized framework to respond to this problem in other areas by applying the methodological principles acquired and synthesized previously. The proposed pilot case is Flight Dynamics and Sizing, which is responsible, in conjunction with pre-projects and industrialization, for sizing the aircraft according to loads, mass, aerodynamic forces, flight controls in particular. It is expected to continue on themes such as: * Automatic publication of ontology documentation * Managing the criticality of data in ontologies * Reasoning in the service of extending data sets and checking the consistency of information * Semantic search in data Searching for ontologies in catalogs (notably using dcat) *Requirements for this position* Applicants are required to have a PhD in Computer Science, a strong background in semantic web technologies, ontology engineering, linked data management and query, and if possible, in ontology alignment. Fluency in written / spoken English is required too. A good publication record and strong programing skills will be a plus. *Work environment* Localization : Institut de Recherche en Informatique de Toulouse (IRIT) – Universite Toulouse - Jean Jaures / Maison de la Recherche, 5, allees Antonio Machado 31058 Toulouse, and Airbus (St Martin du Touch). *Duration* : 9 months, starting ASAP - probability of renewal 9 to 12 months. Salary between 2 663 to 3953 (depending on experience). *How to apply* Applications will be accepted until the position is closed. Applicants should send a full Curriculum including a complete list of publications, a cover letter indicating their research interests, achievements to date and vision for the future, as well as either support letters or the name of 2 persons that have worked with them. Contact: Nathalie Hernandez and Cassia Trojahn *Full description: https://bit.ly/2Ysp6zk* ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] Post-doc IRIT/Toulouse (France)
Dear, (sorry for multiple postings) We are recruiting a post-doc at IRIT (France) in the context of the DACE-DL project (DAta-CEntric AI-driven Data Linking). Recruitment is scheduled for early 2022 for 24 months. Thank you for circulating this offer in your networks. Regards, Cassia Trojahn and Olivier Teste > - > ** Post-doctoral position at IRIT: Data Linking ** > > * Context: ANR project DACE-DL (DAta-CEntric AI-driven Data Linking) *Data > linking is the scientific challenge of automatically establishing typed links > between the entities of two or more structured datasets. A variety of complex > data linking systems exists, evaluated on public benchmarks. While they have > allowed for the generation of vast amounts of linked data in the context of > various dedicated projects, data generic systems often have limited > applicability in many real-world scenarios, where data are highly > heterogeneous and domain-specific. DACE-DL targets a paradigm shift in the > data linking field with a data-centric bottom-up methodology relying on > machine learning and representation learning models. We hypothesize there > exists a finite number of identifiable and generalisable linking problem > types (LPTs), that we need to categorize and analyse to provide better > linking results. > > * Topic: Data collect, consolidation, and data linking systems > modularization * > > This research is articulated in two main tasks. The first task consists in > (1) carrying out an in-depth analysis of the quality of the existing data > linking datasets, identifying erroneous statements and providing a > high-quality set of datasets by correcting those statements; and (ii) > generating additional links using existing high-precision linking systems on > the chosen datasets. Data quality metrics such as accuracy, consistency and > conciseness will be considered. > The aim of the second task is manifold : (1) to provide an inventory of > publicly available and functional linking tools that are able to deal with a > large spectrum of data linking problem; (2) to propose a theoretical approach > for the modularization of these tools into atomic modules easy to combine in > order to build more complex solutions in a linking ecosystem; (3) to make the > produced modules available to the data linking community. To do the > modularization at scale, we plan to call upon unsupervised ML algorithms, > enhanced by a human-in-the-loop approach. The objective is to provide a set > of correspondences between the modules and the LPTs. > > Starting period: January 2022 – duration of 24 months > > * Work environment and Salary * > > Localization : Institut de Recherche en informatique de Toulouse (IRIT) – > Universite Toulouse - Jean Jaures / Maison de la Recherche, 5, allees Antonio > Machado 31058 Toulouse. > Salary between 2200€ and 2700€ gross monthly depending on qualifications and > situation. > > * How to apply * > > Applicants are required to have a PhD in Computer Science, a strong > background in semantic web technologies, ontology matching and data linking. > Fluency in written / spoken English is required too. A good publication > record and strong programming skills will be a plus. Applications will be > accepted until the position is closed. Applicants should send a full CV > including a complete list of publications, a cover letter indicating their > research interests, achievements to date and vision for the future, as well > as either support letters or the name of 2 persons that have worked with > them. > > Contact: Cassia Trojahn (cassia.troj...@irit.fr) and Olivier Teste > (olivier.te...@irit.fr) ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] Post-doc IRIT/Toulouse (France)
Dear, (sorry for multiple postings) We are recruiting a post-doc at IRIT (France) in the context of the DACE-DL project (DAta-CEntric AI-driven Data Linking). Recruitment is scheduled for early 2022 for 24 months. Thank you for circulating this offer in your networks. Regards, Cassia Trojahn and Olivier Teste - ** Post-doctoral position at IRIT: Data Linking ** * Context: ANR project DACE-DL (DAta-CEntric AI-driven Data Linking) * Data linking is the scientific challenge of automatically establishing typed links between the entities of two or more structured datasets. A variety of complex data linking systems exists, evaluated on public benchmarks. While they have allowed for the generation of vast amounts of linked data in the context of various dedicated projects, data generic systems often have limited applicability in many real-world scenarios, where data are highly heterogeneous and domain-specific. DACE-DL targets a paradigm shift in the data linking field with a data-centric bottom-up methodology relying on machine learning and representation learning models. We hypothesize there exists a finite number of identifiable and generalisable linking problem types (LPTs), that we need to categorize and analyse to provide better linking results. * Topic: Data collect, consolidation, and data linking systems modularization * This research is articulated in two main tasks. The first task consists in (1) carrying out an in-depth analysis of the quality of the existing data linking datasets, identifying erroneous statements and providing a high-quality set of datasets by correcting those statements; and (ii) generating additional links using existing high-precision linking systems on the chosen datasets. Data quality metrics such as accuracy, consistency and conciseness will be considered. The aim of the second task is manifold : (1) to provide an inventory of publicly available and functional linking tools that are able to deal with a large spectrum of data linking problem; (2) to propose a theoretical approach for the modularization of these tools into atomic modules easy to combine in order to build more complex solutions in a linking ecosystem; (3) to make the produced modules available to the data linking community. To do the modularization at scale, we plan to call upon unsupervised ML algorithms, enhanced by a human-in-the-loop approach. The objective is to provide a set of correspondences between the modules and the LPTs. Starting period: January 2022 – duration of 24 months * Work environment and Salary * Localization : Institut de Recherche en informatique de Toulouse (IRIT) – Universite Toulouse - Jean Jaures / Maison de la Recherche, 5, allees Antonio Machado 31058 Toulouse. Salary between 2200€ and 2700€ gross monthly depending on qualifications and situation. * How to apply * Applicants are required to have a PhD in Computer Science, a strong background in semantic web technologies, ontology matching and data linking. Fluency in written / spoken English is required too. A good publication record and strong programming skills will be a plus. Applications will be accepted until the position is closed. Applicants should send a full CV including a complete list of publications, a cover letter indicating their research interests, achievements to date and vision for the future, as well as either support letters or the name of 2 persons that have worked with them. Contact: Cassia Trojahn (cassia.troj...@irit.fr) and Olivier Teste (olivier.te...@irit.fr) ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] Postdoc position : knowledge representation IRIT - Airbus
(apologies for multiple posts) Dear all, We are recruiting at the Institute of Research in Informatics of Toulouse (IRIT, France) a post-doc in the context of a collaboration with Airbus (see details below). Best regards, Nathalie Hernandez and Cassia Trojahn -- *Context: Collaboration between IRIT and Airbus on the Digital Design, Manufacturing and Services Transformation project* Digital Design, Manufacturing and Services (DDMS) is the project that aims at transforming Airbus methods, processes and tools with the objectif of improving the strategic axes of the company: from the ability to develop a new product more quickly to its reduction of the ecological footprint. The issues of knowledge representation and sharing are at the heart of the capacities to be implemented in order to succeed in this development. In DDMS, the Modeling & Simulation department is therefore working to have the necessary foundations, in terms of methods and tools, for the knowledge representation and sharing, in relation with other Airbus entities in order to implement an industrial solution. *Description* As part of the development of DDMS capabilities in 2021, the tasks that are to be taken into account are the following : * to align different domain ontologies * to implement a domain ontology validation mechanism, particularly through the useof shape constraints (SHACL) * to enable the semantic integration of data (development of an Ontology Based Data Access service). For each task, the expected activities are: * the application of knowledge representation to solve the problems of a pilot business application use case in the Airbus environment * the synthesis of a methodological approach and an architectural solution based on this case * a generalized framework to respond to this problem in other areas by applying the methodological principles acquired and synthesized previously. The proposed pilot case is Flight Dynamics and Sizing, which is responsible, in conjunction with pre-projects and industrialization, for sizing the aircraft according to loads, mass, aerodynamic forces, flight controls in particular. It is expected to continue on themes such as: * Automatic publication of ontology documentation * Managing the criticality of data in ontologies * Reasoning in the service of extending data sets and checking the consistency of information * Semantic search in data Searching for ontologies in catalogs (notably using dcat) *Requirements for this position* Applicants are required to have a PhD in Computer Science, a strong background in semantic web technologies, ontology engineering, linked data management and query, and if possible, in ontology alignment. Fluency in written / spoken English is required too. A good publication record and strong programing skills will be a plus. *Work environment* Localization : Institut de Recherche en Informatique de Toulouse (IRIT) – Universite Toulouse - Jean Jaures / Maison de la Recherche, 5, allees Antonio Machado 31058 Toulouse, and Airbus (St Martin du Touch). *Duration* : 9 months, starting in january 2022 - probability of renewal 9 to 12 months. Salary between 2 663 to 3953 (depending on experience). *How to apply* Applications will be accepted until the position is closed. Applicants should send a full Curriculum including a complete list of publications, a cover letter indicating their research interests, achievements to date and vision for the future, as well as either support letters or the name of 2 persons that have worked with them. Contact: Nathalie Hernandez and Cassia Trojahn *Full description: https://bit.ly/2Ysp6zk* ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] [Virtual OM-2021] Final CFP: 16th wshop on Ontology Matching collocated with ISWC, the submission deadline is on Aug. 9th
, 2021: Workshop camera ready copy submission. October 25th, 2021: OM-2021, Virtual Conference. Contributions will be refereed by the Program Committee. Accepted papers will be published in the workshop proceedings as a volume of CEUR-WS as well as indexed on DBLP. ORGANIZING COMMITTEE 1. Pavel Shvaiko (main contact) Trentino Digitale, Italy 2. Jérôme Euzenat INRIA & Univ. Grenoble Alpes, France 3. Ernesto Jiménez-Ruiz City, University of London, UK & SIRIUS, University of Oslo, Norway 4. Oktie Hassanzadeh IBM Research, USA 5. Cássia Trojahn IRIT, France PROGRAM COMMITTEE: Alsayed Algergawy, Jena University, Germany Manuel Atencia, INRIA & Univ. Grenoble Alpes, France Zohra Bellahsene, LIRMM, France Jiaoyan Chen, University of Oxford, UK Valerie Cross, Miami University, USA Jérôme David, University Grenoble Alpes & INRIA, France Gayo Diallo, University of Bordeaux, France Daniel Faria, Instituto Gulbenkian de Ciéncia, Portugal Alfio Ferrara, University of Milan, Italy Marko Gulic, University of Rijeka, Croatia Wei Hu, Nanjing University, China Ryutaro Ichise, National Institute of Informatics, Japan Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Naouel Karam, Fraunhofer, Germany Prodromos Kolyvakis, EPFL, Switzerland Patrick Lambrix, Linköpings Universitet, Sweden Oliver Lehmberg, University of Mannheim, Germany Fiona McNeill, Heriot Watt University, UK Peter Mork, MITRE, USA Axel Ngonga, University of Paderborn, Germany George Papadakis, University of Athens, Greece Catia Pesquita, University of Lisbon, Portugal Henry Rosales-Méndez, University of Chile, Chile Kavitha Srinivas, IBM, USA Pedro Szekely, University of Southern California, USA Valentina Tamma, University of Liverpool, UK Ludger van Elst, DFKI, Germany Xingsi Xue, Fujian University of Technology, China Ondrej Zamazal, Prague University of Economics, Czech Republic --- More about ontology matching: http://www.ontologymatching.org/ http://book.ontologymatching.org/ --- Best Regards, Cassia Trojahn https://www.irit.fr/~Cassia.Trojahn/ ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] [Virtual OM-2021] 2nd CFP: 16th workshop on Ontology Matching collocated with ISWC
, 2021: Workshop camera ready copy submission. October 25th, 2021: OM-2021, Virtual Conference. Contributions will be refereed by the Program Committee. Accepted papers will be published in the workshop proceedings as a volume of CEUR-WS as well as indexed on DBLP. ORGANIZING COMMITTEE 1. Pavel Shvaiko (main contact) Trentino Digitale, Italy 2. Jérôme Euzenat INRIA & Univ. Grenoble Alpes, France 3. Ernesto Jiménez-Ruiz City, University of London, UK & SIRIUS, University of Oslo, Norway 4. Oktie Hassanzadeh IBM Research, USA 5. Cássia Trojahn IRIT, France PROGRAM COMMITTEE (to be completed): Alsayed Algergawy, Jena University, Germany Manuel Atencia, INRIA & Univ. Grenoble Alpes, France Zohra Bellahsene, LIRMM, France Jiaoyan Chen, University of Oxford, UK Valerie Cross, Miami University, USA Jérôme David, University Grenoble Alpes & INRIA, France Gayo Diallo, University of Bordeaux, France Daniel Faria, Instituto Gulbenkian de Ciéncia, Portugal Alfio Ferrara, University of Milan, Italy Marko Gulic, University of Rijeka, Croatia Wei Hu, Nanjing University, China Ryutaro Ichise, National Institute of Informatics, Japan Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Naouel Karam, Fraunhofer, Germany Prodromos Kolyvakis, EPFL, Switzerland Patrick Lambrix, Linköpings Universitet, Sweden Oliver Lehmberg, University of Mannheim, Germany Fiona McNeill, Heriot Watt University, UK Peter Mork, MITRE, USA Axel Ngonga, University of Paderborn, Germany George Papadakis, University of Athens, Greece Catia Pesquita, University of Lisbon, Portugal Henry Rosales-Méndez, University of Chile, Chile Kavitha Srinivas, IBM, USA Pedro Szekely, University of Southern California, USA Valentina Tamma, University of Liverpool, UK Ludger van Elst, DFKI, Germany Xingsi Xue, Fujian University of Technology, China Ondrej Zamazal, Prague University of Economics, Czech Republic --- More about ontology matching: http://www.ontologymatching.org/ http://book.ontologymatching.org/ --- Best Regards, Cassia Trojahn https://www.irit.fr/~Cassia.Trojahn/ ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] [OAEI-2020] 1st call for systems: Ontology Alignment Evaluation Initiative (OAEI)
** Apologies for multiple postings ** First call for systems of the 2020 edition of the Ontology Alignment Evaluation Initiative (OAEI): http://oaei.ontologymatching.org/2020/ This evaluation campaign is collocated with the Ontology Matching workshop: http://om2020.ontologymatching.org/ NEWS -- - Please join our new discussion group: https://groups.google.com/d/forum/ontology-alignment-evaluation-initiative-oaei - This year we will get the support from the MELT framework to facilitate the SEALS and HOBBIT wrapping and evaluation. CONFIRMED TRACKS -- * Schema matching Anatomy Conference Multifarm Complex (New Tasks) Interactive Matching Large Biomedical Ontologies Disease and Phenotype Biodiversity and Ecology * Instance matching / link discovery SPIMBENCH Link Discovery * Instance and schema matching Knowledge graph * Tabular data to Knowledge Graph matching TD→KG IMPORTANT DATES -- June 15th: (preliminary) datasets available. July 15th: final datasets available. July 31st: participants register their tools August 31st: participants submit final versions of their tools. September 30th: results are available (SEALS and HOBBIT tracks). October 14th: preliminary version of system papers. November 2nd-3rd: Ontology matching workshop (Virtual) November 15th: final version of system papers. ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] [Virtual?==?utf-8?q? OM-2020] 1st CFP: 15th workshop on Ontology Matching collocated with ISWC
. September 21st, 2020: Workshop camera ready copy submission. November 2nd or 3rd, 2020: OM-2020, Virtual Conference. Contributions will be refereed by the Program Committee. Accepted papers will be published in the workshop proceedings as a volume of CEUR-WS as well as indexed on DBLP. ORGANIZING COMMITTEE 1. Pavel Shvaiko (main contact) Trentino Digitale, Italy 2. Jérôme Euzenat INRIA & Univ. Grenoble Alpes, France 3. Ernesto Jiménez-Ruiz City, University of London, UK & SIRIUS, University of Oslo, Norway 4. Oktie Hassanzadeh IBM Research, USA 5. Cássia Trojahn IRIT, France PROGRAM COMMITTEE (to be completed): Alsayed Algergawy, Jena University, Germany Manuel Atencia, INRIA & Univ. Grenoble Alpes, France Zohra Bellahsene, LIRMM, France Jiaoyan Chen, University of Oxford, UK Valerie Cross, Miami University, USA Jérôme David, University Grenoble Alpes & INRIA, France Daniel Faria, Instituto Gulbenkian de Ciéncia, Portugal Alfio Ferrara, University of Milan, Italy Marko Gulic, University of Rijeka, Croatia Wei Hu, Nanjing University, China Ryutaro Ichise, National Institute of Informatics, Japan Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Naouel Karam, Fraunhofer, Germany Prodromos Kolyvakis, EPFL, Switzerland Patrick Lambrix, Linköpings Universitet, Sweden Oliver Lehmberg, University of Mannheim, Germany Majeed Mohammadi, TU Delft, Netherlands Peter Mork, MITRE, USA Andriy Nikolov, Metaphacts GmbH, Germany George Papadakis, University of Athens, Greece Catia Pesquita, University of Lisbon, Portugal Henry Rosales-Méndez, University of Chile, Chile Kavitha Srinivas, IBM, USA Giorgos Stoilos, Huawei Technologies, Greece Pedro Szekely, University of Southern California, USA Ludger van Elst, DFKI, Germany Xingsi Xue, Fujian University of Technology, China Ondrej Zamazal, Prague University of Economics, Czech Republic Songmao Zhang, Chinese Academy of Sciences, China --- More about ontology matching: http://www.ontologymatching.org/ http://book.ontologymatching.org/ --- Best regards, Cassia Trojahn --- Assistant professor Université de Toulouse 2, France ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] 2nd CfP JWS special issue on Benchmarking Semantic Web Solutions : 31st August 2019
(Apologies for multiple postings) - ** Special Issue of the JWS on Benchmarking Semantic Web Solutions ** https://www.journals.elsevier.com/journal-of-web-semantics/call-for-papers/special-issue-on-benchmarking-semantic-web-solutions ** Call for Papers ** The availability of benchmarks is often regarded as a prerequisite for sustainable developments in quantitative research. From a practical perspective, the cost and effort required for introducing Semantic Web and Linked Data technology is significant. A key step towards abolishing the barriers to the adoption and deployment of this technology is to provide open benchmarking reports that allow users to assess the fitness of existing solutions for their purposes. In this special issue, we hence welcome articles (1) proposing benchmarks and related platforms, and/or (2) performing a throughout evaluation of Semantic Web solutions. A focus of the special issue will be scalability and reproducibility. The target topics of the benchmark/evaluation include (but are not limited to): Knowledge extraction Named entity recognition Disambiguation Relation extraction Open and closed knowledge extraction Link discovery and prediction Linking at scale Linking for dedicated data types (e.g., geospatial data) Knowledge curation and fact checking Ontology alignment Alignment discovery Alignment repair Complex ontology alignment Tabular data to knowledge graph matching Cell to KG entity matching Column to KG semantic type Relation discovery among table columns KG population OWL reasoning Classification Entailment checking Class satisfiability Ontology satisfiability Query answering Knowledge graph completion Semantic embeddings Quality of embeddings Ontology Based Data Access Performance Relational schema to ontology alignment Visualization Browsing ** Important Dates ** Intention to submit: 31st July 2019, 23:59 PM Hawaii-Time (please fill the form http://tiny.cc/jws-si-bench-interest) Submission deadline: 31st August 2019 Author notification (1st round): 15th October 2019 Revisions due: 15th November 2019 Publication: Q1 2020 ** Instructions for submission ** The submission website for this journal is located at https://ees.elsevier.com/jws/default.asp Authors have to select Benchmarking_Sem_Web when reaching the "Article Type" step in the submission process. ** Guest Editors ** - Axel Ngonga, Paderborn University (Germany) (axel.ngo...@uni-paderborn.de) - Cassia Trojahn dos Santos, Institut de Recherche en Informatique de Toulouse (France) (cassia.troj...@irit.fr) - Ernesto Jimenez-Ruiz, The Alan Turing Institute (UK) and University of Oslo (Norway) (ernesto.jimenez.r...@gmail.com) - Main contact point - Valentina Tamma, University of Liverpool (UK) (v.ta...@liverpool.ac.uk) ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] [OM-2019] Final call for papers (deadline June 28th)
will be refereed by the Program Committee. Accepted papers will be published in the workshop proceedings as a volume of CEUR-WS as well as indexed on DBLP. ORGANIZING COMMITTEE 1. Pavel Shvaiko (main contact) Trentino Digitale, Italy 2. Jerome Euzenat INRIA & Univ. Grenoble Alpes, France 3. Ernesto Jimenez-Ruiz The Alan Turing Institute, UK & University of Oslo, Norway 4. Oktie Hassanzadeh IBM Research, USA 5.Cassia Trojahn IRIT, France PROGRAM COMMITTEE: Alsayed Algergawy, Jena University, Germany Manuel Atencia, INRIA & Univ. Grenoble Alpes, France Zohra Bellahsene, LIRMM, France Jiaoyan Chen, University of Oxford, UK Valerie Cross, Miami University, USA Jerome David, University Grenoble Alpes & INRIA, France Gayo Diallo, University of Bordeaux, France Warith Eddine Djeddi, LIPAH & LABGED, Tunisia AnHai Doan, University of Wisconsin, USA Alfio Ferrara, University of Milan, Italy Marko Gulic, University of Rijeka, Croatia Wei Hu, Nanjing University, China Ryutaro Ichise, National Institute of Informatics, Japan Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Simon Kocbek, University of Melbourne, Australia Prodromos Kolyvakis, EPFL, Switzerland Patrick Lambrix, Linkpings Universitet, Sweden Oliver Lehmberg, University of Mannheim, Germany Vincenzo Maltese, University of Trento, Italy Fiona McNeill, University of Edinburgh, UK Christian Meilicke, University of Mannheim, Germany Peter Mork, MITRE, USA Andriy Nikolov, Metaphacts GmbH, Germany Axel Ngonga, University of Paderborn, Germany George Papadakis, University of Athens, Greece Catia Pesquita, University of Lisbon, Portugal Henry Rosales-Mendez, University of Chile, Chile Juan Sequeda, Capsenta, USA Kavitha Srinivas, IBM, USA Giorgos Stoilos, National Technical University of Athens, Greece Pedro Szekely, University of Southern California, USA Valentina Tamma, University of Liverpool, UK Ludger van Elst, DFKI, Germany Xingsi Xue, Fujian University of Technology, China Ondrej Zamazal, Prague University of Economics, Czech Republic Songmao Zhang, Chinese Academy of Sciences, China --- ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CfP JWS special issue on Benchmarking Semantic Web Solutions : 31st August 2019
(Apologies for multiple postings) - * Special Issue of the JWS on Benchmarking Semantic Web Solutions * ** Call for Papers ** The availability of benchmarks is often regarded as a prerequisite for sustainable developments in quantitative research. From a practical perspective, the cost and effort required for introducing Semantic Web and Linked Data technology is significant. A key step towards abolishing the barriers to the adoption and deployment of this technology is to provide open benchmarking reports that allow users to assess the fitness of existing solutions for their purposes. In this special issue, we hence welcome articles (1) proposing benchmarks and related platforms, and/or (2) performing a throughout evaluation of Semantic Web solutions. A focus of the special issue will be scalability and reproducibility. The target topics of the benchmark/evaluation include (but are not limited to): Knowledge extraction Named entity recognition Disambiguation Relation extraction Open and closed knowledge extraction Link discovery and prediction Linking at scale Linking for dedicated data types (e.g., geospatial data) Knowledge curation and fact checking Ontology alignment Alignment discovery Alignment repair Complex ontology alignment Tabular data to knowledge graph matching Cell to KG entity matching Column to KG semantic type Relation discovery among table columns KG population OWL reasoning Classification Entailment checking Class satisfiability Ontology satisfiability Query answering Knowledge graph completion Semantic embeddings Quality of embeddings Ontology Based Data Access Performance Relational schema to ontology alignment Visualization Browsing ** Important Dates ** Intention to submit: 31st July 2019, 23:59 PM Hawaii-Time Submission deadline: 31st August 2019 Author notification (1st round): 15th October 2019 Revisions due: 15th November 2019 Publication:Q1 2020 ** Guest Editors ** - Axel Ngonga, Paderborn University (Germany) (axel.ngo...@uni-paderborn.de) - Cassia Trojahn dos Santos, Institut de Recherche en Informatique de Toulouse (France) (cassia.troj...@irit.fr) - Ernesto Jimenez-Ruiz, The Alan Turing Institute (UK) and University of Oslo (Norway) (ernesto.jimenez.r...@gmail.com) - Main contact point - Valentina Tamma, University of Liverpool (UK) (v.ta...@liverpool.ac.uk) ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] EKAW 2018: second call for participation
EKAW 2018 - Second call for participation == https://project.inria.fr/ekaw2018/ (early registration extended to 18th October 2018) The 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), will be held during November 12-16, 2018 in Nancy, France, at Inria Nancy – Grand-Est. Complete information is available at https://project.inria.fr/ekaw2018/ EKAW 2018 concerns all aspects of eliciting, acquiring, modeling and managing knowledge, and the role of knowledge in the construction of systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and so on. The special theme of EKAW 2018 is "Knowledge and AI". We have papers describing algorithms, tools, methodologies, and applications that exploit the interplay between knowledge and Artificial Intelligence techniques, with a special emphasis on knowledge discovery. EKAW 2018 puts a special emphasis on the importance of Knowledge Engineering and Knowledge Management with the help of AI as well as for AI. The conference program is available at https://project.inria.fr/ekaw2018/conference-program/ Come in Nancy and enjoy EKAW 2018! Amedeo Napoli (CNRS, France) and Yannick Toussaint (Université de Lorraine, France) General chairs ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] EKAW 2018 : Call for papers (deadline extension)
[Apologies for cross-postings] Due to multiple requests, the paper submission deadline for EKAW 2018 has been EXTENDED to July 12th 2018. Please notice that the abstract deadline remains unchanged on Monday July 2nd 2018. ** Call for research, in-use, and position papers ** https://project.inria.fr/ekaw2018/ The 21th International Conference on Knowledge Engineering and Knowledge Management concerns all aspects of eliciting, acquiring, modeling and managing knowledge, and the role of knowledge in the construction of systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and so on. The special theme of EKAW 2018 is "Knowledge and AI". We are indeed calling for papers that describe algorithms, tools, methodologies, and applications that exploit the interplay between knowledge and Artificial Intelligence techniques, with a special emphasis on knowledge discovery.EKAW 2018 will put a special emphasis on the importance of Knowledge Engineering and Knowledge Management with the help of AI as well as for AI. ** Proceedings ** The proceedings of the research track will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence series. The authors of selected best papers will be invited to submit an extended version of their manuscript to a special issue of the Semantic Web Journal by IOS Press. ** Best paper award ** Research and in-use papers are eligible for the Bob Wielinga Best Paper Award sponsored by Springer that will award a prize of 1,000 euros to the best paper of the main track. ** Topics of interest ** EKAW 2018 welcomes papers dealing with theoretical, methodological, experimental, and application-oriented aspects of knowledge engineering and knowledge management. In particular, but not exclusively, we solicit papers about methods, tools and methodologies on the following topics: * AI and Knowledge * - AI-based knowledge engineering and management - Natural Language Processing and knowledge discovery/acquisition - Knowledge acquisition for AI - Intelligent knowledge evolution, maintenance, and repair - Managing compliance between knowledge and data - Managing Multi-media knowledge - Machine Learning and the knowledge lifecycle - Combining learning knowledge from data and from humans - Modeling learned and conceptual knowledge together - Lessons learned from case studies - Adoption of techniques that exploit knowledge and AI - Evaluation of techniques that exploit knowledge and AI * Knowledge Management * - Methodologies and tools for knowledge management - Knowledge sharing and distribution, collaboration - Best practices and lessons learned from case studies - Provenance and trust in knowledge management - Methods for accelerating take-up of knowledge management technologies- Corporate memories for knowledge management - Knowledge evolution, maintenance and preservation - Web 2.0 technologies for knowledge management - Incentives for human knowledge acquisition (e.g. games with a purpose) * Knowledge Engineering and Acquisition * - Tools and methodologies for ontology engineering - Ontology design patterns - Ontology localisation - Ontology alignment - Knowledge authoring and semantic annotation - Knowledge acquisition from non-ontological resources (thesauri, folksonomies, etc.) - Semi-automatic knowledge acquisition, e.g., ontology learning - Mining the Semantic Web and the Web of Data - Ontology evaluation and metrics - Uncertainty and vagueness in knowledge representation - Dealing with dynamic, distributed and emerging knowledge * Social and Cognitive Aspects of Knowledge Representation * - Similarity and analogy-based reasoning - Knowledge representation inspired by cognitive science - Synergies between humans and machines - Knowledge emerging from user interaction and networks - Knowledge ecosystems - Expert finding, e.g., by social network analysis - Trust and privacy in knowledge representation - Collaborative and social approaches to knowledge management and acquisition - Crowdsourcing in knowledge management * Applications in specific domains such as * - eGovernment and public administration - Life sciences, health and medicine - Humanities and Social Sciences - Automotive and manufacturing industry - Cultural heritage - Digital libraries - Geosciences - ICT4D (Knowledge in the developing world) ** Type of papers ** We will accept different types of papers. The papers will all have the same status and follow the same formatting guidelines in the proceedings but will receive special treatment during the reviewing phase. In particular, each paper type will be subject to its own evaluation criteria. The Programme Committee will
[UAI] EKAW 2018 : Third call for research, in-use and position papers
[Apologies for cross-postings] ** Call for research, in-use, and position papers ** https://project.inria.fr/ekaw2018/ The 21th International Conference on Knowledge Engineering and Knowledge Management concerns all aspects of eliciting, acquiring, modeling and managing knowledge, and the role of knowledge in the construction of systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and so on. The special theme of EKAW 2018 is "Knowledge and AI". We are indeed calling for papers that describe algorithms, tools, methodologies, and applications that exploit the interplay between knowledge and Artificial Intelligence techniques, with a special emphasis on knowledge discovery.EKAW 2018 will put a special emphasis on the importance of Knowledge Engineering and Knowledge Management with the help of AI as well as for AI. ** Proceedings ** The proceedings of the research track will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence series. The authors of selected best papers will be invited to submit an extended version of their manuscript to a special issue of the Semantic Web Journal by IOS Press. ** Best paper award ** Research and in-use papers are eligible for the Bob Wielinga Best Paper Award sponsored by Springer that will award a prize of 1,000 euros to the best paper of the main track. ** Topics of interest ** EKAW 2018 welcomes papers dealing with theoretical, methodological, experimental, and application-oriented aspects of knowledge engineering and knowledge management. In particular, but not exclusively, we solicit papers about methods, tools and methodologies on the following topics: * AI and Knowledge * - AI-based knowledge engineering and management - Natural Language Processing and knowledge discovery/acquisition - Knowledge acquisition for AI - Intelligent knowledge evolution, maintenance, and repair - Managing compliance between knowledge and data - Managing Multi-media knowledge - Machine Learning and the knowledge lifecycle - Combining learning knowledge from data and from humans - Modeling learned and conceptual knowledge together - Lessons learned from case studies - Adoption of techniques that exploit knowledge and AI - Evaluation of techniques that exploit knowledge and AI * Knowledge Management * - Methodologies and tools for knowledge management - Knowledge sharing and distribution, collaboration - Best practices and lessons learned from case studies - Provenance and trust in knowledge management - Methods for accelerating take-up of knowledge management technologies- Corporate memories for knowledge management - Knowledge evolution, maintenance and preservation - Web 2.0 technologies for knowledge management - Incentives for human knowledge acquisition (e.g. games with a purpose) * Knowledge Engineering and Acquisition * - Tools and methodologies for ontology engineering - Ontology design patterns - Ontology localisation - Ontology alignment - Knowledge authoring and semantic annotation - Knowledge acquisition from non-ontological resources (thesauri, folksonomies, etc.) - Semi-automatic knowledge acquisition, e.g., ontology learning - Mining the Semantic Web and the Web of Data - Ontology evaluation and metrics - Uncertainty and vagueness in knowledge representation - Dealing with dynamic, distributed and emerging knowledge * Social and Cognitive Aspects of Knowledge Representation * - Similarity and analogy-based reasoning - Knowledge representation inspired by cognitive science - Synergies between humans and machines - Knowledge emerging from user interaction and networks - Knowledge ecosystems - Expert finding, e.g., by social network analysis - Trust and privacy in knowledge representation - Collaborative and social approaches to knowledge management and acquisition - Crowdsourcing in knowledge management * Applications in specific domains such as * - eGovernment and public administration - Life sciences, health and medicine - Humanities and Social Sciences - Automotive and manufacturing industry - Cultural heritage - Digital libraries - Geosciences - ICT4D (Knowledge in the developing world) ** Type of papers ** We will accept different types of papers. The papers will all have the same status and follow the same formatting guidelines in the proceedings but will receive special treatment during the reviewing phase. In particular, each paper type will be subject to its own evaluation criteria. The Programme Committee will also make sure that there is a reasonable balance of the paper types accepted. At submission time the paper has to be
[UAI] EKAW 2018 Call for workshops ans tutorials : deadlne approaching
Call for workshops and tutorials In conjunction with EKAW 2018 https://project.inria.fr/ekaw2018/ November 12 - 16 Nancy, France Authors of the best workshop papers will be invited to submit revised and extended versions to a special issue of Data Science Journal (https://datasciencehub.net). ** Introduction ** The International Conference on Knowledge Engineering and Knowledge Management (EKAW) is concerned with all aspects of eliciting, acquiring, modelling and managing knowledge, as well its role in the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, etc. This year, EKAW will pay special attention to topics related to knowledge and artificial intelligence. Besides the regular conference tracks, EKAW will host a number of workshops and tutorials on topics related to the theme of the conference. We hope our workshops to provide an informal setting where participants have the opportunity to discuss specific technical topics in an atmosphere that fosters the active exchange of ideas; and tutorials to enable attendees to fully appreciate current issues, main schools of thought, and possible application areas. ** Topics of Interest ** In order to meet these goals, workshop/tutorial proposals should address topics that satisfy the following criteria: the falls in the general scope of EKAW 2018; there is a clear focus on a specific technology, problem or application; there is a sufficiently large community interested in the topic. ** Submission Guidelines ** Proposals should be submitted via EasyChair at: https://easychair.org/conferences/?conf=ekaw2018wst Submissions should be a single PDF file of no more than 5 pages, specifying "Workshop Proposal" or "Tutorial Proposal", and should contain the following information. Workshop proposals: Title. Abstract (200 words). Motivation on why the topic is of particular interest at this time and its relation to the main conference topics. Workshop format, discussing the mix of events such as paper presentations, invited talks, panels, and general discussion. Intended audience and expected number of participants. List of (potential) members of the program committee (at least 50% have to be confirmed at the time of the proposal, confirmed participants should be marked specifically). Indication of whether the workshop should be considered for a half-day or full-day. The tentative dates (submission, notification, camera-ready deadline, etc.) Past versions of the workshop, including URLs as well as number of submissions and acceptance rates. Details of the organisers (name, affiliation, email address, homepage) and short CV. We strongly advise having more than one organiser, preferably from different institutions, bringing different perspectives to the workshop topic. We welcome, and will prioritise, workshops with creative structures and organisations that attract various types of contributions and ensure rich interactions. A special issue of Data Science Journal will be compiled with revised and extended versions of the best workshop papers from EKAW 2018. For more information on Data Science Journal, see: https://datasciencehub.net/. Workshop organisers will be requested to nominate papers from their workshops, whose authors will be invited to submit revised and extended versions of their papers to this special issue. Papers submitted to the special issue will go through the regular Data Science review process. Tutorial proposals: Title. Abstract (200 words). Relation to the conference topics, i.e. why it will be of interest to the conference attendants. If the tutorial, or a very similar tutorial, has been given elsewhere, explanation of the benefit of presenting it again to the EKAW community. Overview of content, description of the aims, presentation style, potential/preferred prerequisite knowledge. Indication on whether the tutorial should be considered for a half-day or full-day. Intended audience and expected number of participants. Audio-visual or technical requirements and any special room requirements (for hands-on sessions, any software needed and download sites must be provided by the tutorial presenters). Details of the presenters (name, affiliation, email address, homepage) and short CV including also their expertise, experiences in teaching and in tutorial presentation. ** Workshop Organiser Responsibilities ** The organisers of accepted workshops are expected to: prepare a workshop webpage (linked to the official EKAW website) containing the call for papers and detailed information about the workshop organisation and timelines. be responsible for the workshop publicity. be responsible for their own reviewing process, decide upon the final program content and report the number of submissions and accepted papers to the workshop chair. be responsible for publishing
[UAI] EKAW 2018 : Second call for workshops ans tutorials
Call for workshops and tutorials In conjunction with EKAW 2018 https://project.inria.fr/ekaw2018/ November 12 - 16 Nancy, France Introduction The International Conference on Knowledge Engineering and Knowledge Management (EKAW) is concerned with all aspects of eliciting, acquiring, modelling and managing knowledge, as well its role in the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, etc. This year, EKAW will pay special attention to topics related to knowledge and artificial intelligence. Besides the regular conference tracks, EKAW will host a number of workshops and tutorials on topics related to the theme of the conference. We hope our workshops to provide an informal setting where participants have the opportunity to discuss specific technical topics in an atmosphere that fosters the active exchange of ideas; and tutorials to enable attendees to fully appreciate current issues, main schools of thought, and possible application areas. Topics of Interest In order to meet these goals, workshop/tutorial proposals should address topics that satisfy the following criteria: the falls in the general scope of EKAW 2018; there is a clear focus on a specific technology, problem or application; there is a sufficiently large community interested in the topic. Submission Guidelines Proposals should be submitted via EasyChair at: https://easychair.org/conferences/?conf=ekaw2018wst Submissions should be a single PDF file of no more than 5 pages, specifying "Workshop Proposal" or "Tutorial Proposal", and should contain the following information. Workshop proposals: Title. Abstract (200 words). Motivation on why the topic is of particular interest at this time and its relation to the main conference topics. Workshop format, discussing the mix of events such as paper presentations, invited talks, panels, and general discussion. Intended audience and expected number of participants. List of (potential) members of the program committee (at least 50% have to be confirmed at the time of the proposal, confirmed participants should be marked specifically). Indication of whether the workshop should be considered for a half-day or full-day. The tentative dates (submission, notification, camera-ready deadline, etc.) Past versions of the workshop, including URLs as well as number of submissions and acceptance rates. Details of the organisers (name, affiliation, email address, homepage) and short CV. We strongly advise having more than one organiser, preferably from different institutions, bringing different perspectives to the workshop topic. We welcome, and will prioritise, workshops with creative structures and organisations that attract various types of contributions and ensure rich interactions. Tutorial proposals: Title. Abstract (200 words). Relation to the conference topics, i.e. why it will be of interest to the conference attendants. If the tutorial, or a very similar tutorial, has been given elsewhere, explanation of the benefit of presenting it again to the EKAW community. Overview of content, description of the aims, presentation style, potential/preferred prerequisite knowledge. Indication on whether the tutorial should be considered for a half-day or full-day. Intended audience and expected number of participants. Audio-visual or technical requirements and any special room requirements (for hands-on sessions, any software needed and download sites must be provided by the tutorial presenters). Details of the presenters (name, affiliation, email address, homepage) and short CV including also their expertise, experiences in teaching and in tutorial presentation. Workshop Organiser Responsibilities The organisers of accepted workshops are expected to: prepare a workshop webpage (linked to the official EKAW website) containing the call for papers and detailed information about the workshop organisation and timelines. be responsible for the workshop publicity. be responsible for their own reviewing process, decide upon the final program content and report the number of submissions and accepted papers to the workshop chair. be responsible for publishing electronic proceedings (e.g. on the CEUR-WS website). ensure workshop participants are informed they have to register to the main conference and the workshop. schedule, attend and coordinate their entire workshop. Tutorial Organisers Responsibilities The proposers of accepted tutorials are expected to prepare a tutorial webpage (linked to the official EKAW website) containing detailed information about the tutorial prepare the tutorial materials publicity distribute materials to participants schedule, attend and coordinate their tutorial. Important Dates Proposals due: 9 May, 2018 Notifications: 23 May 2018 Suggested Timeline for Workshops Workshop website up and calls: 1 June 2018 Deadline
[UAI] EKAW 2018 : First call for research, in-use, and position papers
** First call for research, in-use, and position papers ** The 21th International Conference on Knowledge Engineering and Knowledge Management is with all aspects of eliciting, acquiring, modeling and managing knowledge, and its role in the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and so on. The special theme of this year's EKAW is "Knowledge and AI". We are indeed calling for papers that describe algorithms, tools, methodologies, and applications that exploit the interplay between knowledge and Artificial Intelligence techniques for knowledge discovery, modelling and managing, as well as papers that jointly exploit knowledge which is implicitly included in data (e.g., in learned models) and explicitly represented (e.g., in conceptual models). EKAW 2018 will put a special emphasis on the importance of Knowledge Engineering and Knowledge Management with the help of AI as well as for AI. ** Best paper award ** Research and in-use papers are eligible for the Bob Wielinga Best Paper Award. ** Topics of interest ** EKAW 2018 welcomes papers dealing with theoretical, methodological, experimental, and application-oriented aspects of knowledge engineering and knowledge management. In particular, but not exclusively, we solicit papers about methods, tools and methodologies relevant with regard to the following topics: * AI and Knowledge * - AI-based knowledge engineering and management - Natural Language Processing and knowledge discovery/acquisition - Knowledge acquisition for AI - Intelligent knowledge evolution, maintenance, and repair - Managing compliance between knowledge and data - Managing Multi-media knowledge - Machine Learning and the knowledge lifecycle - Combining learning knowledge from data and from humans - Modeling learned and conceptual knowledge together - Lessons learned from case studies - Adoption of techniques that exploit knowledge and AI - Evaluation of techniques that exploit knowledge and AI * Knowledge Management * - Methodologies and tools for knowledge management - Knowledge sharing and distribution, collaboration - Best practices and lessons learned from case studies - Provenance and trust in knowledge management - Methods for accelerating take-up of knowledge management technologies - Corporate memories for knowledge management - Knowledge evolution, maintenance and preservation - Web 2.0 technologies for knowledge management - Incentives for human knowledge acquisition (e.g. games with a purpose) * Knowledge Engineering and Acquisition * - Tools and methodologies for ontology engineering - Ontology design patterns - Ontology localisation - Ontology alignment - Knowledge authoring and semantic annotation - Knowledge acquisition from non-ontological resources (thesauri, folksonomies, etc.) - Semi-automatic knowledge acquisition, e.g., ontology learning - Mining the Semantic Web and the Web of Data - Ontology evaluation and metrics - Uncertainty and vagueness in knowledge representation - Dealing with dynamic, distributed and emerging knowledge * Social and Cognitive Aspects of Knowledge Representation * - Similarity and analogy-based reasoning - Knowledge representation inspired by cognitive science - Synergies between humans and machines - Knowledge emerging from user interaction and networks - Knowledge ecosystems - Expert finding, e.g., by social network analysis - Trust and privacy in knowledge representation - Collaborative and social approaches to knowledge management and acquisition - Crowdsourcing in knowledge management * Applications in specific domains such as * - eGovernment and public administration - Life sciences, health and medicine - Humanities and Social Sciences - Automotive and manufacturing industry - Cultural heritage - Digital libraries - Geosciences - ICT4D (Knowledge in the developing world) ** Type of papers ** We will accept different types of papers. The papers will all have the same status and follow the same formatting guidelines in the proceedings but will receive special treatment during the reviewing phase. In particular, each paper type will be subject to its own evaluation criteria. The Programme Committee will also make sure that there is a reasonable balance of the paper types accepted. At submission time the paper has to be clearly identified as belonging to one of the following categories. Research papers: These are "standard" papers presenting a novel method, technique or analysis with appropriate empirical or other types of evaluation as a proof-of-concept. The main evaluation criteria here will be originality, technical soundness and validation. In-use
[UAI] EKAW 2018 : Call for workshops and tutorials
Call for workshops and tutorials In conjunction with EKAW 2018 https://project.inria.fr/ekaw2018/ November 12 - 16 Nancy, France Introduction The International Conference on Knowledge Engineering and Knowledge Management (EKAW) is concerned with all aspects of eliciting, acquiring, modelling and managing knowledge, as well its role in the construction of knowledge-intensive systems and services for the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, etc. This year, EKAW will pay special attention to topics related to knowledge and artificial intelligence. Besides the regular conference tracks, EKAW will host a number of workshops and tutorials on topics related to the theme of the conference. We hope our workshops to provide an informal setting where participants have the opportunity to discuss specific technical topics in an atmosphere that fosters the active exchange of ideas; and tutorials to enable attendees to fully appreciate current issues, main schools of thought, and possible application areas. Topics of Interest In order to meet these goals, workshop/tutorial proposals should address topics that satisfy the following criteria: the falls in the general scope of EKAW 2018; there is a clear focus on a specific technology, problem or application; there is a sufficiently large community interested in the topic. Submission Guidelines Proposals should be submitted via EasyChair at: https://easychair.org/conferences/?conf=ekaw2018wst Submissions should be a single PDF file of no more than 5 pages, specifying "Workshop Proposal" or "Tutorial Proposal", and should contain the following information. Workshop proposals: Title. Abstract (200 words). Motivation on why the topic is of particular interest at this time and its relation to the main conference topics. Workshop format, discussing the mix of events such as paper presentations, invited talks, panels, and general discussion. Intended audience and expected number of participants. List of (potential) members of the program committee (at least 50% have to be confirmed at the time of the proposal, confirmed participants should be marked specifically). Indication of whether the workshop should be considered for a half-day or full-day. The tentative dates (submission, notification, camera-ready deadline, etc.) Past versions of the workshop, including URLs as well as number of submissions and acceptance rates. Details of the organisers (name, affiliation, email address, homepage) and short CV. We strongly advise having more than one organiser, preferably from different institutions, bringing different perspectives to the workshop topic. We welcome, and will prioritise, workshops with creative structures and organisations that attract various types of contributions and ensure rich interactions. Tutorial proposals: Title. Abstract (200 words). Relation to the conference topics, i.e. why it will be of interest to the conference attendants. If the tutorial, or a very similar tutorial, has been given elsewhere, explanation of the benefit of presenting it again to the EKAW community. Overview of content, description of the aims, presentation style, potential/preferred prerequisite knowledge. Indication on whether the tutorial should be considered for a half-day or full-day. Intended audience and expected number of participants. Audio-visual or technical requirements and any special room requirements (for hands-on sessions, any software needed and download sites must be provided by the tutorial presenters). Details of the presenters (name, affiliation, email address, homepage) and short CV including also their expertise, experiences in teaching and in tutorial presentation. Workshop Organiser Responsibilities The organisers of accepted workshops are expected to: prepare a workshop webpage (linked to the official EKAW website) containing the call for papers and detailed information about the workshop organisation and timelines. be responsible for the workshop publicity. be responsible for their own reviewing process, decide upon the final program content and report the number of submissions and accepted papers to the workshop chair. be responsible for publishing electronic proceedings (e.g. on the CEUR-WS website). ensure workshop participants are informed they have to register to the main conference and the workshop. schedule, attend and coordinate their entire workshop. Tutorial Organisers Responsibilities The proposers of accepted tutorials are expected to prepare a tutorial webpage (linked to the official EKAW website) containing detailed information about the tutorial prepare the tutorial materials publicity distribute materials to participants schedule, attend and coordinate their tutorial. Important Dates Proposals due: 9 May, 2018 Notifications: 23 May 2018 Suggested Timeline for Workshops Workshop website up and calls: 1 June 2018
