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-defmed 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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Kim, J. M., & Park, Y. T. (2006). A study of the evaluation function and the clustering algorithm for semantic Web environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3981 LNCS, pp. 1219–1228). Springer Verlag. https://doi.org/10.1007/11751588_129
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