Title :
A study of ontology-based incremental clustering technique in semantic Web
Author :
Kim, Je-Min ; Park, Young-Tack
Author_Institution :
Dept. of Comput. Sci., Soongsil Univ., Seoul, South Korea
Abstract :
Clustering is defining inter relationship of an ordered 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 predefined 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 is the definition of evaluation function to measure ontology based metadata and study using this evaluation function within hierarchical clustering algorithm.
Keywords :
ontologies (artificial intelligence); pattern clustering; semantic Web; evaluation function; grouped information; hierarchical clustering algorithm; incremental clustering; ontology based metadata; semantic Web; systematic data grouping; Clustering algorithms; Computer science; HTML; Humans; OWL; Ontologies; Semantic Web; Software agents; Web sites; XML;
Conference_Titel :
Next Generation Web Services Practices, 2005. NWeSP 2005. International Conference on
Print_ISBN :
0-7695-2452-4
DOI :
10.1109/NWESP.2005.11