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

초록

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.

제목
A study of the evaluation function and the clustering algorithm for semantic web environment
저자
Kim, JM; Park, YT
발행일
2006
학회명
ICCSA 2006: International Conference on Computational Science and Its Applications
개최지
Glasgow
학회 개최일
2006-05-08 ~ 2006-05-11