| Ontology formalization defines the common knowledge in this area and plays a key part in semantic web. Ontology have solved knowledge sharing as well as led to some new problems. The subjectivity, autonomy and distribution in ontology building and using cause many heterogeneous ontologies in various domains. It is one of the key problems of semantic web to solve the problems of heterogeneous ontologies and eliminate the sharing barriers of application system. Ontology matching is the key technology to find out the different matching relations of entity elements, which is one of the effective methods to handle semantic heterogeneity of computer system.The text lays a great emphasis on the methods of Ontology matching, pays special attention to the research and discussion of Ontology matching algorithm based on the structural features. Furthermore, it offers some suggestions to improve Ontology matching algorithm based on the structural features. The main contents are as follows:(1) After understanding some definitions of ontology,heterogeneous ontologies and Ontology matching, introducing the basic process and algorithm classifications, paying special attention to some current tools and methods of Ontology matching, especially the tools and methods of Ontology matching based on the structural features, making a comparison of their matching process.(2) Based on analyzing the current methods, designing to improve similar algorithm methods based on the structural features and respond to Ontology matching design and prove the feasibility and effectiveness of matching algorithm in the text.(3) Using the Ontology matching algorithm to realize the match of heterogeneous ontologies, which can improve the matching accuracy and raise the accurate rate of information searching.All in all, the basic concept of the text is to analyze and improve the original algorithm to improve the matching accuracy, which is feasible and practical in technology. |
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