Concepts Expansion in Materials Domain Based on Ontology Matching Results

Traditional keyword-based search methods are used widely to find the user's requirements, but the results are not very satisfactory because of semantic ambiguity of concepts. However, domain ontologies contain great number of domain concepts and their relations. Hence, to achieve more accurate query results, in this paper, we propose a novel approach to expand the domain concepts using the results of ontology matching, especially in metallic materials domain. Firstly, we use the semantic similarity calculation strategy to find the domain concepts, which is similar to the seed query concept, from the ontology matching results. Then the corresponding concepts of these similar concepts can be acquired according to the structure of ontology matching results. At last, we can get the expansion concepts by merging the similar concepts and corresponding concepts. This approach is evaluated in light of F1-measure and time performance, and the experimental results show that the proposed approach can improve the query results effectively, and the time performance is acceptable.