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21th International Conference on Knowledge Engineering and Knowledge Management EKAW 2018

Deadline : 2 juillet 2018


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 **

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

* 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
- 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

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

** Important dates **

Abstract deadline : July 2nd, 2018
Submission deadline : July 12th, 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)

Voir en ligne : EKAW

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