** Second call for research, in-use, and position papers **

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, 
- 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 papers: Here we are expecting papers describing applications of 
knowledge management and engineering in real environments. Applications need to 
address a sufficiently interesting and challenging problem on real-world 
datasets, involving many users, etc. The focus is less on the originality of 
the approach and more on presenting systems that solve a significant problem 
while addressing the particular challenges that come with the use of real-world 
data. Evaluations are essential for this type of paper and should involve a 
representative subset of the actual users of the system.

Position papers: We invite researchers to also publish position papers, which 
describe novel and innovative ideas. Position papers may also comprise an 
analysis of currently unsolved problems, or review these problems from a new 
perspective, in order contribute to a better understanding of these problems in 
the research community. We expect that such papers will guide future research 
by highlighting critical assumptions, motivating the difficulty of a certain 
problem or explaining why current techniques are not sufficient, possibly 
corroborated by quantitative and qualitative arguments.

** Important dates **

Abstract deadline: July 2nd, 2018
Submission deadline: July 9th, 2018 
Notification of acceptance: August 31st, 2018
Camera-ready paper: September 10th, 2018
Conference days: November 13th-16th, 2018
All submission deadlines are 23:59:59 Hawaii Time.

** Submissions **

Pre-submission of abstracts is a strict requirement. All papers and abstracts 
have to be submitted electronically via EasyChair. 

All submissions for research, in-use, and position papers must be in English, 
and no longer than 15 pages. Papers that exceed this limit will be rejected 
without review.

Submissions must be in PDF, formatted in the style of the Springer Publications 
format for Lecture Notes in Computer Science (LNCS). For details on the LNCS 
style, see Springer's Author Instructions. 

** Organization **

General chair
Amedeo Napoli (CNRS, France)
Yannick Toussaint (Université de Lorraine, France)

Program chairs
Catherine Faron Zucker (Université Nice Sophia Antipolis, France)
Chiara Ghidini (Fondazione Bruno Kessler, Italy)

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