A Study of the Evaluation Function and the Clustering Algorithm for Semantic Web Environment

  • Je-Min Kim
  • Young-Tack Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3981)


Clustering is defining inter relationship of unordered data and grouping data systematically. The systems using clustering provide the grouped information to the users. The complex metadata description generated on the basis of pre-defined ontologies serve as perfect input data for clustering. In this paper, we propose an approach for clustering ontology-based metadata. Main contribution of this paper are the definition of evaluation function to measure ontology-based metadata and study using this evaluation function within hierarchical clustering algorithm.


Cluster Algorithm Hierarchical Cluster Algorithm Concept Node Metadata Model Category Utility 
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

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Je-Min Kim
    • 1
  • Young-Tack Park
    • 1
  1. 1.Dept of Computer ScienceSoongSil UniversitySeoulKorea

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