A Semantic Category Matching Approach to Ontology Alignment

We applied our semantic category matching (SCM) approach to the EON ontology alignment contest problems. Our approach found pairs of semantically corresponding categories from two different classification hierarchies such as Yahoo, based on natural language processing, similarity searching of huge vector spaces, and structural consistency analysis. The EON Contest’s random name problems (#201, #202) could not be solved using conventional character string resemblance techniques. However, when we applied SCM to these problems, the results showed that SCM had improved the accuracy as compared to the conventional method (F-measure: 0.021=>0.949, 0.021=>0.580). Moreover, SCM exceeded the accuracy average in all problem areas by over 10 % as compared to conventional methods. 1 Semantic Category Matching