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WWW Information Integration Oriented Classification Ontology Integrating Approach

  • Anxiang Ma
  • Kening Gao
  • Bin Zhang
  • Yu Wang
  • Ying Yin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4092)

Abstract

In WWW information integration, eliminating semantic hetero-geneity and implementing semantic combination is one of the key problems. This paper introduces classification ontology into WWW information integration to solve the semantic combination problem of heterogeneity classification architecture in Web information integration. However, there may be many kinds of ontology in a specific domain due to the structure of the websites, domain experts and different goals. So we have to combine all these kinds of ontology into logically unified integrated classification ontology in order to solve the problem of semantic heterogeneity commendably. This paper primarily discusses the method of building integrated classification ontology based on individual ontology, presents the definition of classification ontology, analyses the conceptual mapping and relational mapping between ontologies and solves the level conflict in the equivalent concepts.

Keywords

Information integration Classification ontology Semantic Similarity 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Anxiang Ma
    • 1
  • Kening Gao
    • 1
  • Bin Zhang
    • 1
  • Yu Wang
    • 1
  • Ying Yin
    • 1
  1. 1.School of Information Science and EngineeringNortheastern UniversityShenyangChina

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