Paper: Analysis of an Iterative Algorithm for Term-Based Ontology Alignment

ACL ID I05-1031
Title Analysis of an Iterative Algorithm for Term-Based Ontology Alignment
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2005
Authors

This paper analyzes the results of automatic concept align- ment between two ontologies. We use an iterative algorithm to perform concept alignment. The algorithm uses the similarity of shared terms in order to find the most appropriate target concept for a particular source concept. The results show that the proposed algorithm not only finds the relation between the target concepts and the source concepts, but the algorithm also shows some flaws in the ontologies. These results can be used to improve the correctness of the ontologies.