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 subontologies 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 compar...