Models of incremental concept formation
Artificial Intelligence
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Information storage and retrieval
Information storage and retrieval
Efficient Feature Selection in Conceptual Clustering
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
| Hi-index | 0.01 |
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.