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A Knowledge Search Framework for Collaborative Networks

  • Rui J. TramontinJr.
  • Ricardo J. Rabelo
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 243)

Abstract

Partners in a collaborative network (CN) must interact and share their knowledge. This paper focuses on how the knowledge exchanged in these interactions can be easily and precisely reached by CN partners through an knowledge search framework. In order to improve the search precision, ontologies are used to add metadata (semantic annotations) to documents as well as to provide support for semantic queries. This paper is also concerned to the CN-related requirements not addressed by current information retrieval solutions, like annotations consistency maintenance, multiple ontologies management, ontology mappings management and security issues. The proposed framework is being developed under the scope of the ECOLEAD Project as part of a broader ICT infrastructure for supporting CNs.

Keywords

Semantic Annotation Collaborative Network Virtual Enterprise Ontology Evolution Ontology Mapping 
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.

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Copyright information

© IFIP International Federation for Information Processing 2007

Authors and Affiliations

  • Rui J. TramontinJr.
    • 1
  • Ricardo J. Rabelo
    • 1
  1. 1.Department of Automation and Systems, GSIGMA - Intelligent Manufacturing Systems GroupFederal University of Santa CatarinaFlorianópolis (SC)Brazil

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