Abstract

Abstract. In this paper we give a brief explanation of how Sub-Ontology based Ontology Matching (SOBOM) method gets the alignment results at OAEI2010. SOBOM deal with an ontology from two different views: an ontology with is-a hierarchical structure O ’ and an ontology with other relationships O’’. Firstly, from the O ’ view, SOBOM starts with a set of anchors provided by a linguistic matcher. And then it extracts sub-ontologies based on the anchors and ranks these sub-ontologies according to their depths. Secondly, SOBOM utilizes Semantic Inductive Similarity Flooding algorithm to compute the similarity of concepts between different sub-ontologies derived from the two ontologies according the depth of sub-ontologies to get concept alignments. Finally, from the O’ ’ view, SOBOM gets relationship alignments by using the concept alignment results in O’ ’. The experiment results show SOBOM can find more alignment results than other compared relevant methods. 1 System presentation Currently more and more ontologies are distributedly built and used by different

Citations