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CFP: ekaw-02

From: ASUN Gómez-Pérez <asun@fi.upm.es>
Date: Fri, 16 Nov 2001 17:51:26 +0100
To: www-rdf-interest@w3.org, protege-discussion@SMI.Stanford.EDU
Message-id: <3BF5440E.9493334A@fi.upm.es>

Call for paper  EKAW-2002

13th International Conference on  Knowledge Engineering and Management,

Sigüenza, Spain 1-4 October 2002.


PAPER SUBMISSION DEADLINE: April, 15th 2002

TUTORIAL PROPOSAL DEADLINE: December 31st, 2001

WORKSHOP  PROPOSAL DEADLINE: December 31st, 2001

DEMOS/INDUSTRIAL TRACK SUBMISSION DEADLINE: April, 15th 2002

http://babage.dia.fi.upm.es/ekaw02/ekaw02.htm


The 13th International Conference on Knowledge Engineering and Knowledge
Management is concerned with all aspects of eliciting, acquiring,
modeling and managing knowledge, and their role in the construction of
knowledge-intensive systems for the semantic web, knowledge
management, e-business, natural language processing, intelligent
integration information, etc. Submissions are invited on relevant
topics, including
but not restricted to:

A) KNOWLEDGE MANAGEMENT


          Methodologies and tools for Knowledge Management
           Methodologies and tools for (possible distributed) corporate
memory constructions, evaluation and evolution.
           Knowledge Management Applications
           Social and human factors dimensions of knowledge management
           Knowledge acquisition, work place analysis and requirements
engineering for knowledge modeling
           Knowledge modeling and enterprise modeling

B) SEMANTIC WEB


           Knowledge Modeling, Knowledge Annotation, Knowledge
Management and Knowledge Evolution on the Semantic Web
          Ontology-based wrappers technology
           Semantic Portals
           Peer to Peer communication between semantic systems
           Problem solving methods and semantic web services
           Architectures for the Semantic Web.

C) ONTOLOGIES


           Languages, techniques, tools and methodologies for Knowledge
Acquisition, Modeling and Management.
           Methods and tools for collaborative building, evolution and
evaluation of ontologies.
           Ontology Learning from natural language, from semi-structured
data and from structured data.
           Methodologies and tools for ontology reengineering, reuse,
merge, alignment, integration and certification.
           Ontologies and agents
           Ontologies and Information Sharing
           Ontologies and Intelligent Integration Information

D) KNOWLEDGE ACQUISITION and MODELING


          Advanced Knowledge modeling languages and tools
          Capturing knowledge through machine learning and knowledge
discovery in data bases
          Specific knowledge modeling issues for CBR systems,
cooperative KBS, training applications
          Knowledge Acquisition from texts
          Evaluation of methods, techniques and tools for Knowledge
Acquisition
          Knowledge modeling for improving Human Computer Interaction



See the attached file for a complete description of the CFP

ASuncion Gomez-Perez
Conference Chair


Received on Friday, 16 November 2001 11:50:58 GMT

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