Re: OGC seeks public comment on GeoSPARQL
Hi Fran On 11/07/2011 9:21, Frans Knibbe wrote: It was a good idea to post this announcement here! Yes, it was .. ;) At the moment it is not really possible to publish geographical data in the Linked Data cloud. Well, there is the Basic Geo vocabulary from the W3C, and it is widely used, but it does not allow coding geometries other than points, and it does not allow for arbitrary coordinate systems. There is a wealth of rich geographical data out there, but it is mostly still locked up in silos. A standard like this could change that. We have GeoLinkedData [1], which aims to enrich the Web of Data with Spanish geospatial data. We are publishing points and linestrings, and we have two tools for supporting these geometries, geometry2rdf [2], and map4rdf[3]. Yes, we have more geospatial information out there, and we hope this standard will be a step forward to enrich the Web of Data with more geospatial linked data. http://oegdev.dia.fi.upm.es/projects/map4rdf/ I really hope that some Linked Data experts can find some time to assess this candidate standard, and help the geospatial community on its way to 'splendid assimilation'. We have already provided some comments. Thanks Boris [1] http://geo.linkeddata.es http://geo.linkeddata.es/ [2] http://mccarthy.dia.fi.upm.es/geometry2rdf/ [3] http://oegdev.dia.fi.upm.es/projects/map4rdf/ Regards, Frans On 2011-07-08 14:57, John Goodwin wrote: The Open Geospatial Consortium (OGC®) seeks public comment on the candidate OGC GeoSPARQL: A Geographic Query Language for RDF Data Standard. The candidate OGC GeoSPARQL standard defines spatial extensions to the W3C's SPARQL protocol and RDF query language. SPARQL is a protocol and query language for the Semantic Web. SPARQL is defined in terms of the W3C's RDF data model and will work for any data source that can be mapped into RDF, which potentially includes sources of geospatial data. The OGC GeoSPARQL standard supports representing and querying geospatial data on the Semantic Web. GeoSPARQL provides the foundational geospatial vocabulary for linked data involving location and defines extensions to SPARQL for processing geospatial data. This standard serves as a common target for vendors to implement and provides rich functionality for building geospatial applications. GeoSPARQL follows a modular design. A /core/ component defines top-level RDFS/OWL classes for spatial objects. A /geometry/ component defines RDFS data types for serializing geometry data, RDFS/OWL classes for geometry object types, geometry-related RDF properties, and non-topological spatial query functions for geometry objects. A /geometry/ /topology/ component defines topological query functions. A /topological/ /vocabulary/ component defines RDF properties for asserting topological relations between spatial objects, and a /query/ /rewrite/ component defines rules for transforming a simple triple pattern that tests a topological relation between two features into an equivalent query involving concrete geometries and topological query functions. The candidate OGC GeoSPARQL Standard documents are available for review and comment below. http://www.opengeospatial.org/standards/requests/80 John *Dr John Goodwin* *Research Scientist, Research, Ordnance Survey* Adanac Drive, SOUTHAMPTON, UK, SO16 0ASPhone: +44 (0) 23 8005 5761 www.ordnancesurvey.co.uk| john.good...@ordnancesurvey.co.uk *Please consider your environmental responsibility before printing this email* This email is only intended for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email which must not be copied, distributed or disclosed to any other person. Unless stated otherwise, the contents of this email are personal to the writer and do not represent the official view of Ordnance Survey. Nor can any contract be formed on Ordnance Survey's behalf via email. We reserve the right to monitor emails and attachments without prior notice. Thank you for your cooperation. Ordnance Survey Adanac Drive Southampton SO16 0AS Tel: 08456 050505 http://www.ordnancesurvey.co.uk
ANN: Spanish National Library Linked Data and MARiMbA, a tool for librarians
[Apologies for cross-postings] The Ontology Engineering Group, within the context of its Linked Data projects, is pleased to announce that the datos.bne.es [1] initiative has been launched. datos.bne.es is an open initiative aimed at enriching the Web of Data with library data from the Spanish National Library. The SPARQL endpoint is available at [2]. The RDF generation from MARC 21 records was done using our tool MARiMbA [3], which allows non-technical users to work on the mappings from MARC21 metadata to RDF using different RDFS/OWL vocabularies. This initiative is part of the project “Linked data at the BNE”, supported by the BNE in cooperation with the Ontology Engineering Group (OEG) at the Universidad Politécnica de Madrid (UPM). With this initiative, the BNE takes the challenge of publishing bibliographic and authority data in RDF, following the Linked Data Principles and under the CC0 (Creative Commons Public Domain Dedication) open license. Thereby, Spain joins the initiatives that libraries from countries such as the United Kingdom and Germany have recently launched. Approximately 2.4 million bibliographic records have been transformed into RDF. They are modern and ancient monographies, sound-recordings and musical scores. Besides, 4 million authority records of persons, corporate names, uniform titles and subjects have been transformed. The transformation process has generated around 58 million RDF triples and about 600K owl:sameAs links to other datasets such as DBPedia or VIAF. More information can be found in the DataHub entry [4] Best Regards, Daniel, Asun, and Boris [1] http://datos.bne.es [2] http://datos.bne.es/sparql [3] http://www.oeg-upm.net/index.php/en/downloads/228-marimba [4] http://thedatahub.org/dataset/datos-bne-es
ANN: map4rdf - Maps viewer of RDF resources with Geometrical Information - now supports OpenStreetMap
Dear all Within the context of the GeoLinkData initiative [1], the Ontology Engineering Group [2] is happy to announce a new release of map4rdf [3]. map4rdf is a mapping and faceted browsing tool for exploring and visualizing RDF datasets enhanced with geometrical Information. map4rdf is an open source software. Just configure it to use your SPARQL endpoint and provide your users with a nice map-based visualization of your data. The geospatial aspects of the data can be modelled using either the data model from W3C Geo XG [4] or the geometrical data model proposed by GeoLinkedData [5] map4df website: http://oegdev.dia.fi.upm.es/map4rdf/ map4rdf demo: http://mccarthy.dia.fi.upm.es/map4rdf-0.0.3/ map4rdf new features: • Geospatial and geometrical visualization using Google Maps and OpenStreetMap. • Easy configuration via configuration file. • Filtering resources. • Suggesting editions of a given resource. Thanks and enjoy it! GeoLinkedDataTeam [1] http://geo.linkeddata.es [2] http://www.oeg-upm.es [3] http://oegdev.dia.fi.upm.es/projects/map4rdf/ [4] http://www.w3.org/2005/Incubator/geo/ [5] http://geo.linkeddata.es/web/guest/modelos
ANN: map4rdf - Maps viewer of RDF resources with Geometrical Information - now supports OpenStreetMap
Dear all Within the context of the GeoLinkData initiative [1], the Ontology Engineering Group [2] is happy to announce a new release of map4rdf [3]. map4rdf is a mapping and faceted browsing tool for exploring and visualizing RDF datasets enhanced with geometrical Information. map4rdf is an open source software. Just configure it to use your SPARQL endpoint and provide your users with a nice map-based visualization of your data. The geospatial aspects of the data can be modelled using either the data model from W3C Geo XG [4] or the geometrical data model proposed by GeoLinkedData [5] map4df website: http://oegdev.dia.fi.upm.es/projects/map4rdf/ map4rdf demo: http://mccarthy.dia.fi.upm.es/map4rdf-0.0.3/ map4rdf new features: • Geospatial and geometrical visualization using Google Maps and OpenStreetMap. • Easy configuration via configuration file. • Filtering resources. • Suggesting editions of a given resource. Thanks and enjoy it! GeoLinkedDataTeam P.S. Now with the correct link … ;) [1] http://geo.linkeddata.es [2] http://www.oeg-upm.es [3] http://oegdev.dia.fi.upm.es/projects/map4rdf/ [4] http://www.w3.org/2005/Incubator/geo/ [5] http://geo.linkeddata.es/web/guest/modelos On Mar 28, 2012, at 9:19 AM, Boris Villazon-Terrazas wrote: Dear all Within the context of the GeoLinkData initiative [1], the Ontology Engineering Group [2] is happy to announce a new release of map4rdf [3]. map4rdf is a mapping and faceted browsing tool for exploring and visualizing RDF datasets enhanced with geometrical Information. map4rdf is an open source software. Just configure it to use your SPARQL endpoint and provide your users with a nice map-based visualization of your data. The geospatial aspects of the data can be modelled using either the data model from W3C Geo XG [4] or the geometrical data model proposed by GeoLinkedData [5] map4df website: http://oegdev.dia.fi.upm.es/map4rdf/ map4rdf demo: http://mccarthy.dia.fi.upm.es/map4rdf-0.0.3/ map4rdf new features: • Geospatial and geometrical visualization using Google Maps and OpenStreetMap. • Easy configuration via configuration file. • Filtering resources. • Suggesting editions of a given resource. Thanks and enjoy it! GeoLinkedDataTeam [1] http://geo.linkeddata.es [2] http://www.oeg-upm.es [3] http://oegdev.dia.fi.upm.es/projects/map4rdf/ [4] http://www.w3.org/2005/Incubator/geo/ [5] http://geo.linkeddata.es/web/guest/modelos
Re: CSV to RDF converter
Moreover, this in line with our paper Data Shapes and data transformations [1] [2] Best, Boris [1] http://www.slideshare.net/boricles/data-shapes-and-data-transformations [2] http://arxiv.org/abs/1211.1565 On 12/12/2012 22:15, Barry Norton wrote: Ying, this might sound like a stupid question, but if you want SQL features why not pull your CSV into a relational DB table then R2RML it into RDF (since mappings will allow you arbitrary SQL)? Barry On 12/12/2012 21:08, Ying Ding wrote: Hi, I am looking for a open source software to convert csv file to RDF based on one pre-defined ontology. Also, this converter should support complicated SQL queries (e.g., Group BY query and IF/THEN/ELSE query) while defining the mapping between csv to our pre-defined ontology. thanks ying
Re: Querying different SPARQL endpoints
Hi all On 19/12/2012 20:42, Oscar Corcho wrote: Hi all, As one of the persons in charge of the dataset that Vishal has pointed out to, and responding to Hugh's comment, you will actually find a description of this specific dataset at: http://datahub.io/dataset/culturalinkeddata In fact, according to our own methodological guidelines for generating Linked Data (that is, eating our own dog food), we always recommend generating, as commented by Hugh, the sitemap.xml and a void description for all our datasets, registering them to the CKAN registry. Moreover, you can use sitemap4rdf [1] for generating the sitemap.xml files from SPARQL endpoints. Regarding your original question, you can try vocab-express [2] an early prototype ... we are going to improve it. The data that is available in that SPARQL endpoint is now migrated to http://datos.bne.es/ (it is data from the Spanish National Library), and the void description is at http://datos.bne.es/void/bne.ttl Finally the datahub (former CKAN) entry for datos.bne.es is [3] Best, Boris [1] http://lab.linkeddata.deri.ie/2010/sitemap4rdf/ [2] http://vocab-express.nodester.com/ [3] http://datahub.io/dataset/datos-bne-es Regards, Oscar
Re: ontology construction tools from free text
Hi Vishal Here is a good one [1], but probably a bit old. HTH Boris [1] http://dl.acm.org/citation.cfm?id=1068517 On 10/01/2013 7:28, Vishal Sinha wrote: Hi, Would anybody would suggest the pointer to state-of-the-art ontology construction tools from free text? Thanks.
1st Latin American Linked Data Meetup
Apologies for cross-posting We are pleased to announce the 1st Latin American Linked Data Meetup, to be held at University of Cuenca, Ecuador on March 21-22, 2013 [1]. The Latin American Linked Data Meetup aims at stimulating the publication and consumption of Linked Data datasets in Latin America. This is the right time for gathering the Latin American Linked Data community around an event that includes talks, keynotes, discussions, demonstrations and social events. This meetup is oriented towards people interested in learning about Linked Data and its principles; government and industry personnel working on the publication of data on the Web, developers designing and building applications that reuse the Web of Data; scientists interested in analyzing the structure, interconnections and properties of the published data; and stakeholders interested in applying Linked Data technologies in their business processes. In addition to all that, we will cover transversal topics related to the Web of Data, including Smart Cities, Education, Digital TV, Geospatial data, Libraries, etc. This meetup intends to be the first of many further events that will consolidate the growing Linked Data community in Latin America. For this first edition, some of the talks and keynotes will be presented online by experts on the field. The programme will be announced in due course. Confirmed speakers at this stage are: Maria Esther Vidal - Universidad Simón Bolivar, Caracas, Venezuela Edna Ruckhaus - Universidad Simón Bolivar, Caracas, Venezuela Juan Sequeda - University of Texas at Austin, USA Claudio Gutierrez - Universidad de Chile, Chile Pablo Mendes - Freie Universitat Berlin, Berlin, Germany Jean Paul Calbimonte - Universidad Politécnica de Madrid, Madrid, Spain Andre Freitas - DERI, Ireland More speakers to be confirmed. For those interested in participating, please send an email to victor.saquic...@ucuenca.edu.ec and/or mauricio.espin...@ucuenca.edu.ec. For more information please visit [1] Kind regards Mauricio, Victor, and Boris [1] http://ingenieria.ucuenca.edu.ec/Paginas/Linked_Data_Am%C3%A9ricaLatina_translate.aspx
K-Cap 2013 - Datathon
[Apologies for cross-posting] Free and premium open data and APIs – an opportunity to explore the best of both worlds Join from anywhere in the world! = Participate in the K-Cap - Datathon: http://events.kmi.open.ac.uk/kcap2013/datathon/ Overview * In recent years data has become the new oil. Indeed, just like oil, it needs to be discovered, extracted from its sources and refined from the raw material into products with a high added value. Following the analogy, this is rarely an easy task and consequently more and more sophisticated methods and machinery have been developed that allow for cost-efficient means that assist the whole data lifecycle. As a consequence a large amount of actionable datasets is now available for exploitation in data-intensive applications and domains, following different business models. This is especially the case of structured data accessible in the Web both through dedicated APIs or freely available in the form of (Linked) Open Data. However, though important steps have been taken in this direction, there seems to be still a gap between the potential social and economic benefits of the use of large-scale data in applications and the current level of adoption. This scenario has inspired the K-CAP 2013 Datathon, whose main objective is to demonstrate the value of Open Data through innovative applications. Additional objectives include to identify possible pitfalls along the value chain of the data, and second, to draw a number of conclusions that allow the communities involved in generating and exploiting large-scale data, to deal with such difficulties and flatten the ground for data-intensive applications in the near future. The Challenge We invite researchers, developers and practitioners to join us in the Datathon and turn this vision into a reality. We are calling for teams with a maximum of four members to develop the best data-intensive applications that the current technologies and members’ skills permit in a challenging setting and with a limited amount of time. We expect highly innovative data-intensive applications, this is the most important thing! So, you are free to decide the topic and domain. However, we recommend applications that cover one or several of the following categories: - Social responsibility applications for solving problems in societies and the world. - Business applications around a business idea to improve economic competitiveness. - “Surprising” applications, bringing fresh air and inspiration to the K-CAP 2013 audience Important Dates ** - Registration deadline - April 21st - Datathon starts - April 22nd - Datathon workshop at K-CAP - June 23rd - Applications available on the Web for everybody to vote - June 23rd (upon workshop finishes) - Online voting system available from June 24th and 25th - Demo session at KCAP where applications are showcased and attendees vote – June 24 or 25th - Winners are announced – June 25 or 26th Further Information http://events.kmi.open.ac.uk/kcap2013/datathon/
Re: Visualizing Linked Data - did we miss anything?
Dear all, In the context of the Workflow4Ever project [1], we are developing some visualization tools for Linked Data. The collaboration spheres [2] intents to provide mechanishm to improve, share and reuse of Research Objects [3] and Users Experience based on the explotation of semantic descriptions, relations and similarities between them in order to support advanced search mechanisms, such as metadata-based searches. The visualization of those similarities have a very strong social analysis aspect and are based on collaborative filtering and personalization (user roles). The visualization methaphor proposed aims to be simple and very interpretatability oriented and provides an easy way of adapting to different cases. A live demo is available here [4]. Best, Boris [1] http://www.wf4ever-project.org/ [2] http://www.wf4ever-project.org/wiki/display/docs/Collaboration+Spheres [3] http://www.wf4ever-project.org/wiki/display/docs/Research+Object+model [4] http://sandbox.wf4ever-project.org/CollaborationSpheresPreview/circles.html?id=http://www.myexperiment.org/users/18 On 27/03/2013 17:49, Maria Maleshkova wrote: Dear all, we are trying to compile a survey of topics and tools for visualizing Linked Data. This is part of the contributions of the European project EUCLID (http://www.euclid-project.eu http://www.euclid-project.eu/), which aims to provide an educational curriculum for Linked Data practitioners. So far we have created training materials on introducing the Linked Data principles and application scenarios [1 http://www.euclid-project.eu/modules/chapter1], and on querying Linked Data [2 http://www.slideshare.net/EUCLIDproject/querying-linked-data]. Currently we are working on covering visualization. If you are a developer or a user of methods or tools, which are relevant and we have missed, please let us know (direct reply to the email or euclid-proj...@sti2.org and on Twitter https://twitter.com/euclid_project). All training materials produced by EUCLID are freely available [3 http://creativecommons.org/licenses/by/3.0/] (Attribution) and can be reused for trainings and educational activities. * Linked Data Visualization o Visualisation Techniques + Visualizing the Linked Data Cloud + Requirement for Visualisation Tools + Visualizing Different Data Dimensions o Existing Linked Data Visualisations + Simple bar and pie charts, histograms, line and scatterplots + Node-link tree and graph visualisations, in both 2D and 3D + Matrices, parallel co-ordinates + Timeline and topology plots, map and landscape views + Space-filling visualisations such as tree maps, rose diagrams, icicle, bubble and sunburst plots + Iconography, including star and glyph plots + Text-based o Linked Data Browsers + sig.ma http://sig.ma/, sindice, OpenLink RDF Browser, Marbles, Disco - Disco Hyperdata Browser, Piggy Bank, part of SIMILE, Zitgist DataViewer, iLOD, URI Burner o Browsers with Visualisation Options + Tabulator, IsaViz, OpenLink Data Explorer, RDF Gravity, RelFinder, DBpedia Mobile, LESS http://less.aksw.org http://less.aksw.org/ + Further: SIMILE Exhibit, Haystack, FoaF Explorer, Humboldt, LENA, Noadster, mSpace, Revyv, RKBExplorer, Semanlink o Visualisation toolkits + Information Workbench Linked Open Data, Graves o SPARQL Visualisation Thank you for your feedback! Visit out website for further resources: http://www.euclid-project.eu http://www.euclid-project.eu/ Twitter: https://twitter.com/euclid_project Vimeo: https://vimeo.com/euclidproject Slideshare: https://www.slideshare.net/euclidproject LinkedIn: http://www.linkedin.com/groups/Education-Training-on-Semantic-Technologies-4917016 [1] http://www.euclid-project.eu/modules/chapter1 [2] http://www.slideshare.net/EUCLIDproject/querying-linked-data, https://vimeo.com/61618438, https://vimeo.com/61618437 [3] Attribution 3.0 Unprotected http://creativecommons.org/licenses/by/3.0/ -- Maria Maleshkova Senior Researcher Karlsruhe Institute of Technology (KIT) Phone: +49 721 608 45778 Email: maria.maleshk...@kit.edu mailto:maria.maleshk...@kit.edu KIT University of the State of Baden-Württemberg and National Large-scale Research Center of the Helmholtz Association
K-Cap 2013 - Datathon
[Apologies for cross-posting] Free and premium open data and APIs – an opportunity to explore the best of both worlds Join from anywhere in the world! = Participate in the K-Cap - Datathon: http://events.kmi.open.ac.uk/kcap2013/datathon/ Overview * In recent years data has become the new oil. Indeed, just like oil, it needs to be discovered, extracted from its sources and refined from the raw material into products with a high added value. Following the analogy, this is rarely an easy task and consequently more and more sophisticated methods and machinery have been developed that allow for cost-efficient means that assist the whole data lifecycle. As a consequence a large amount of actionable datasets is now available for exploitation in data-intensive applications and domains, following different business models. This is especially the case of structured data accessible in the Web both through dedicated APIs or freely available in the form of (Linked) Open Data. However, though important steps have been taken in this direction, there seems to be still a gap between the potential social and economic benefits of the use of large-scale data in applications and the current level of adoption. This scenario has inspired the K-CAP 2013 Datathon, whose main objective is to demonstrate the value of Open Data through innovative applications. Additional objectives include to identify possible pitfalls along the value chain of the data, and second, to draw a number of conclusions that allow the communities involved in generating and exploiting large-scale data, to deal with such difficulties and flatten the ground for data-intensive applications in the near future. The Challenge We invite researchers, developers and practitioners to join us in the Datathon and turn this vision into a reality. We are calling for teams with a maximum of four members to develop the best data-intensive applications that the current technologies and members’ skills permit in a challenging setting and with a limited amount of time. We expect highly innovative data-intensive applications, this is the most important thing! So, you are free to decide the topic and domain. However, we recommend applications that cover one or several of the following categories: - Social responsibility applications for solving problems in societies and the world. - Business applications around a business idea to improve economic competitiveness. - “Surprising” applications, bringing fresh air and inspiration to the K-CAP 2013 audience Important Dates ** - Registration deadline - April 21st - Datathon starts - April 22nd - Datathon workshop at K-CAP - June 23rd - Applications available on the Web for everybody to vote - June 23rd (upon workshop finishes) - Online voting system available from June 24th and 25th - Demo session at KCAP where applications are showcased and attendees vote – June 24 or 25th - Winners are announced – June 25 or 26th Further Information http://events.kmi.open.ac.uk/kcap2013/datathon/ Best Boris
2nd CFP 1st Cuban Workshop on Semantic Web (TCWS 2014)
Apologies if you receive multiple copies of this CFP. 2nd CALL FOR PAPERS 1st Cuban Workshop on Semantic Web (TCWS 2014) Havana, Cuba. April 14-18, 2014 Co-located with INFO 2014 http://tcws2014.blogspot.com/ = The Semantic Web Research Group at University of Informatics Sciences from Havana, Cuba, invites the scientific community, professors, students and all people interested in research, innovation and technological development, to participate in the First Cuban Workshop on Semantic Web, to be held on April 14-18, 2014 at Convention Center, Havana, Cuba. This workshop will be held in conjunction with XIII International Congress on Information INFO-2014. The official language is Spanish. TOPICS -- Topics of interest include, but not limited to: - Management of Semantic Web Data and Linked Data - Robust and scalable knowledge management and reasoning on the Web - Languages, tools, and methodologies for representing and managing Semantic Web data - Database, IR, NLP and AI technologies for the Semantic Web - Search, query, integration, and analysis on the Semantic Web - Ontology engineering and ontology patterns for the Semantic Web - User Interfaces to the Semantic Web - Social networks and processes on the Semantic Web - Publication and Consumption of Linked Data SUBMISSION INFORMATION -- Papers will be peer reviewed by a program committee, and could be written in English or Spanish. Contributions should be original, unpublished work. The workshop welcomes: * Short Papers: For ongoing work, preliminary results, or applications. Papers should be up to 4 pages. The oral presentation will be 15 minutes. * Full Papers: For work with complete results. Papers should be up to 10 pages. The oral presentation will be 20 minutes. Submissions must use the PDF file format and must adopt the style of the Springer Publications format for Lecture Notes in Computer Science (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Submissions that exceed the page limit will be rejected without review. All papers have to be submitted electronically via the EasyChair conference submission system: * https://www.easychair.org/conferences/?conf=tcws2014 PROCEEDINGS --- The workshop proceedings will be published at http://ceur-ws.org/. Selected papers will be published in Revista Cubana de Ciencias Informáticas indexed in Scielo and DOAJ. IMPORTANT DATES --- Submission Deadline: Jan 15, 2014 Notification Due: Feb 28, 2014 Final Version Due: Mar 10, 2014 ORGANIZING COMMITTEE Yusniel Hidalgo Delgado (UCI, Cuba)(Chair) Liudmila Reyes Álvarez (UCI, Cuba) Susana Gonce Fernández (UCI, Cuba) Leandro Tabares Martín (UCI, Cuba) Michel David Suarez (UCI, Cuba) Yaismel Miranda Pons (UCI, Cuba) Manuel A. Quert Gómez (UCI, Cuba) Pedro Rodríguez Samón (UCI, Cuba) Claudia Hernández Rizo (UCI, Cuba) Carlos H. Cordoví García (UCI, Cuba) PROGRAM COMMITTEE - Amed A. Leiva Mederos (UCLV, Cuba)(Chair) Iván López Arévalo (CINVESTAV, México) Eduardo Garea Llano (CENATAV, Cuba) Boris Villazon Terrazas (iSOCO, Spain) Rainer Larín Fonseca (CENATAV, Cuba) Rafael Oliva Santos (UH, Cuba) Félix O. Fernández Peña (CUJAE, Cuba) Alfredo J. Simón Cuevas (CUJAE, Cuba) María Esther Vidal (USB, Venezuela) Jose A. Senso (UGR, España) Ismael Navas Delgado (UMA, España) Jose F. Aldana Montes (UMA, España) María del Mar Roldán (UMA, España) Alicia Díaz (UNLP, Argentina) Liudmila Reyes Álvarez (UCI, Cuba) Julio Cesar Díaz Vera (UCI, Cuba) Yuniel E. Proenza Arias (UCI, Cuba) Dayany Díaz Corona (UCI, Cuba) --- More information available athttp://boris.villazon.terrazas.name/data/docs/2do%20CFP-TCWS-2014-ES.pdf
Evaluation of ontology regarding the subject of Vagueness
Dear all, Here at iSOCO we are conducting some experiments regarding Vagueness [1]. We kindly request your help in evaluating an ontology we have developed, regarding the subject of Vagueness. This is practically a meta-ontology that is to used for annotating ontology schema entities (classes, relations and datatypes) with information about their potential vagueness and characteristics of it. A detailed documentation and examples of the ontology as well as complete evaluation guidelines are available at [2]. It would be great if you could complete the evaluation by Wednesday 8/1/2014. Regards and thank you very much in advance, Boris the iSOCO Vagueness team [1] Vagueness is a common human knowledge and language phenomenon, typically manifested by terms and concepts like High, Expert, Bad, Near etc. [2] http://eSurv.org?u=vagueness-ontology
Re: Updated LOD Cloud Diagram - Please enter your linked datasets into the datahub.io catalog for inclusion.
Thanks Chris, Max and Heiko for your hard work! We will try to do our best to include more Spanish and Latin American datasets Best Boris On 24/07/2014 14:18, Christian Bizer wrote: Hi all, Max Schmachtenberg, Heiko Paulheim and I have crawled of the Web of Linked Data and have drawn an updated LOD Cloud diagram based on the results of the crawl. This diagram showing all linked datasets that our crawler managed to discover in April 2014 is found here: http://data.dws.informatik.uni-mannheim.de/lodcloud/2014/ISWC-RDB/LODCloudDiagram.png We also analyzed the compliance of the different datasets with the Linked Data best practices and a paper presenting the results of the analysis is found below. The paper will appear at ISWC 2014 in the Replication, Benchmark, Data and Software Track. http://dws.informatik.uni-mannheim.de/fileadmin/lehrstuehle/ki/pub/SchmachtenbergBizerPaulheim-AdoptionOfLinkedDataBestPractices.pdf The raw data used for our analysis is found on this page: http://data.dws.informatik.uni-mannheim.de/lodcloud/2014/ISWC-RDB/ Our crawler did discover 77 dataset that do not allow crawling via their robots.txt files and these datasets were not included into our analysis and are also not included in the current version of the LOD Cloud diagram. A list of these datasets is found at http://data.dws.informatik.uni-mannheim.de/lodcloud/2014/ISWC-RDB/tables/notCrawlableDatasets.tsv In order to give a comprehensive overview of all Linked Data sets that are currently online, we would like to draw another version of the LOD Cloud diagram including the datasets that our crawler has missed as well as the datasets that do not allow crawling. Thus, if you publish or know about linked datasets that are not in the diagram or in the list of not crawlable datasets yet, please: 1.Enter them into the datahub.io data catalog until August 8^th . 2.Tag them in the catalog with the tag 'lod' (http://datahub.io/dataset?tags=lod) 3.Send an email to Max and Chris pointing us at the entry in the catalog. We will include all datasets into the updated version of the cloud diagram, that fulfill the following requirements: 1.Data items are accessible via dereferencable URIs. 2.The dataset sets at least 50 RDF links pointing at other datasets or at least one other dataset is setting 50 RDF links pointing at your dataset. Instructions on how to describe your dataset in the catalog are found here: https://www.w3.org/wiki/TaskForces/CommunityProjects/LinkingOpenData/DataSets/CKANmetainformation Please make sure that you include information about the RDF links pointing from your dataset into other datasets (field links: ) as well as a tag indicating the topical category of your dataset, so that we know how to include it into the diagram. Please also include an example URI from your dataset into the catalog. We will start to review the new datasets and to draw the updated version of the LOD cloud diagram after August 8^th . So please point us at datasets to be included before this date. Cheers, Max, Heiko, and Chris -- Prof. Dr. Christian Bizer Data and Web Science Research Group Universität Mannheim, Germany ch...@informatik.uni-mannheim.de www.bizer.de
