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Workshop PC Chairs’ Message

  • Stefan Siersdorfer
  • Sergej Sizov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4832)

Abstract

Collaborative data/knowledge management methods aim to achieve improved result quality through combination or merging of results and models obtained from multiple users and sites. Typical application scenarios in the domain of Web information systems include collaborative methods and meta methods for information acquisition (e.g. collaborative Web crawling and search, tagging), organization of document collections (e.g. collaborative classification and clustering), and knowledge sharing (e.g. alignment and sharing of personal ontologies). These areas have received increasing attention in the Web Information Systems community; however, connections and relationships between them have largely been neglected.

The workshop on Collaborative Knowledge Management for Web Information Systems (WE.Know) aims at closing this gap by bringing together researchers and practitioners dealing with collaborative methods in distinct contexts, and discovering synergies between their research fields.

Keywords

Multiple User Access Control Policy Distinct Context Ontology Alignment Topic Hierarchy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Stefan Siersdorfer
    • 1
  • Sergej Sizov
    • 2
  1. 1.University of SheffieldUK
  2. 2.University of Koblenz-LandauGermany

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