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Call for Papers: EKAW 2012 (International Conference on Knowledge Engineering and Knowledge Management)

From: Mari Carmen Suárez de Figueroa Baonza <mcsuarez@fi.upm.es>
Date: Fri, 03 Feb 2012 09:46:41 +0100
Message-ID: <4F2B9EF1.80509@fi.upm.es>
To: destinatarios-no-revelados:;
Apologies for multiple postings


Call for Papers:

18th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2012)
National University of Ireland Galway Quadrangle
October 8-12, 2012.


The 18th International Conference on Knowledge Engineering and Knowledge Management is concerned
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, etc.

The special focus of the 18th edition of EKAW will be on "Knowledge Engineering and Knowledge
Management that matters". We are explicitly calling for papers that have a potentially high impact on a
specific community or application domain (e.g. pharmacy and life sciences), as well as for papers which
report on the development or evaluation of publicly available data sets relevant for a large number of
applications. Moreover, we welcome contributions dealing with problems specific to modeling and
maintenance of real-world data or knowledge, such as scalability and robustness of knowledge-based
applications, or privacy and provenance issues related to organizational knowledge management.

In addition to the main research track, EKAW 2012 will feature a tutorial and workshop program, as well
as a poster and demo track. Moreover, there will be a Doctoral Consortium giving new PhD students a
possibility to present their research proposals, and to get feedback on methodological and practical
aspects of their planned dissertation.

The proceedings of the conference will be published by Springer Verlag in the LNCS series. The LNCS
volume will contain the contributed research papers as well as descriptions of the demos presented at the
conference. Papers published at any of the workshops will be published in dedicated workshop

EKAW 2012 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:

1) “Knowledge Management and Knowledge Engineering that matters”

   • Real-world applications of methods for knowledge management and engineering in domains such as
       - e-Government and public administration
       - Life sciences, health and medicine
       - Automotive and manufacturing industry
       - Cultural heritage applications
       - Digital libraries
   • Development and evaluation of publicly available knowledge repositories for new applications or
   • Methods and methodologies addressing the challenges of real-world data, e.g.,
       - Scalability, robustness etc.
       - Maintenance costs and financial risks
       - Privacy and data security
   • Lessons learned from case studies, e.g.,
       - Knowledge management in large organizations
       - Adoption of semantic web technologies
       - Maintenance of corporate knowledge repositories

2) 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
   • Evolution, maintenance and preservation of knowledge
   • Web 2.0 technologies for knowledge management
   • Incentives for human knowledge acquisition (e.g. games with a purpose)

3) Knowledge Engineering and Acquisition

   • Tools and methodologies for ontology engineering
   • Ontology design patterns
   • Ontology localization
   • 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

4) Social and Cognitive Aspects of Knowledge Representation

   • 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

As last EKAW conference 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 own evaluation criteria. The PC 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 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 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
theses problems from a new perspective, in order contribute to a better understanding of these problem
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.

Submissions of research and in-use papers should comprise a maximum of 15 pages formatted according
to Springer Verlag LNCS guidelines and uploaded using Easychair (
http://www.easychair.org/conferences/?conf=ekaw2012). Position papers are required to have at most 5
pages in the same format.

We will select the best papers from EKAW and invite the authors for a special edition of Journal of Data

Important Dates:

Abstract Submission: 18th of April  2012
Paper Submission: 25th of April 2012
Notification: 6th of June 2012
Camera Ready: 30 of June 2012

Organizing Committee:

General chair: Heiner Stuckenschmidt
Co-chair and local organizer: Siegfried Handschuh
Program chairs: Annette ten Teije, Johanna Voelker
Workshop and tutorials chairs: Claudia d’Amato, Krysztof Janowicz
Demo and poster chairs: Mathieu d’Aquin, Andriy Nikolov
Doctoral consortium chairs: Nathalie Aussenac-Gilles, Nathalie Hernandez
Sponsor chair: Christian Bizer

  Dr. Mari Carmen Suárez-Figueroa
  Teaching Assistant

  Ontology Engineering Group (OEG)

  Departamento de Inteligencia Artificial
  Facultad de Informática
  Universidad Politécnica de Madrid
  Campus de Montegancedo, s/n
  Boadilla del Monte - 28660 Madrid

  Phone: (+34) 91 336 36 72
  Fax: (+34) 91 352 48 19
  e-mail: mcsuarez@fi.upm.es
  Office: 3205			
Received on Friday, 3 February 2012 08:43:33 UTC

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