A study of the evaluation function and the clustering algorithm for semantic Web environment

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free