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 proceedings.

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 
domains • 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 Semantics.

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