Alignment results of SOBOM for OAEI 2009
Peigang Xu, Haijun Tao, Tianyi Zang, Yadong Wang · 2009
Abstract. In this paper we give a brief explanation of how Anchor Concept and Sub-Ontology based Ontology Matching (SOBOM) gets the alignment results at OAEI2009. SOBOM deal with the 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 anchor concepts provided by linguistic matcher. And then it extracts sub-ontologies based on the anchor concepts and ranks these sub-ontologies according to their depth. Secondly, SOBOM utilizes Semantic Inductive Similarity Flooding algorithm to compute the similarity of the concepts between the 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 with high degree of precision. 1 System presentation