CIKM 2008

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CIKM 2008
Conference on Information and Knowledge Mining
Event in series CIKM
Dates Oct 26, 2008 (iCal) - Oct 30, 2008
Homepage: www.cikm2008.org
Location
Location: Napa Valley, CA, USA
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Important dates
Abstracts: May 27, 2008
Submissions: Jun 3, 2008
Notification: Jul 15, 2008
Subevents: DOLAP 2008
Table of Contents

Contents


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The Conference on Information and Knowledge Management (CIKM) provides an international forum for presentation and discussion of research on information and knowledge management, as well as recent advances on data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future directions of research by soliciting and reviewing high quality, applied and theoretical research findings. An important part of the conference is the Workshops program which focuses on timely research challenges and initiatives.

CIKM has a strong tradition of workshops devoted to emerging areas of database management, IR, and related fields. Workshops vary from year to year.

Focus

The topics of interest to the CIKM community include, but are not limited to the following areas:

  • Application of knowledge representation techniques to semantic modeling
  • Development and management of heterogeneous knowledge bases
  • Automatic acquisition of data and knowledge bases (especially raw text)
  • Object-oriented DBMS
  • Optimization techniques
  • Transaction management
  • High performance OLTP systems
  • Security techniques
  • Performance evaluation
  • Hypermedia
  • Unconventional applications
  • Parallel database systems
  • Physical and logical database design
  • Data and knowledge sharing
  • Interchange and interoperability
  • Cooperation in heterogeneous systems
  • Domain modeling and ontology-building
  • Knowledge discovery in databases
  • Information storage and retrieval and interface technology
  • Concurrent engineering and computer integrated manufacturing
  • Digital Libraries
  • Multimedia Databases