Extended Deadline Abstract Submission: April
30th, 2012
Extended Deadline Full Paper
Submission: May 4th, 2012
Call for Papers:
18th International Conference on Knowledge Engineering
and Knowledge Management (EKAW 2012)
National University of Ireland Galway Quadrangle
October 8-12, 2012.
http://ekaw2012.ekaw.org
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: 30th of April 2012
Paper Submission: 4th of May 2012
Notification: 6th of June 2012
Camera Ready: 30 of June 2012