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Ontology Apping Based On High-Pecision Of Information Integration

Posted on:2009-12-21Degree:MasterType:Thesis
Country:ChinaCandidate:Z G ZhangFull Text:PDF
GTID:2178360245994889Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Along with the constant development of information technology, especially the database and network technology in the high-speed development in the 20th century, since the 1990s, economic and social life more and more information-driven. At the national social security system has improved steadily in the process of government at all levels have been established throughout their own information systems. Early in the establishment of these systems, the random use their own are generally understood by the description to store information, rather than a national or even a unified description of the province. Therefore, these data sources is not only in the geographical distribution, and all the more heterogeneous, which the implementation of the entire social security has brought a lot of difficulties. Ontology, the introduction of technology, may to a certain extent address information to the manual input of the problem, with information. This article is to introduce the main body mapping technology, based on the use of a new type of high precision in the Ontology mapping method to achieve the mapping relations, so as to achieve the purpose of information integration.Ontology has become a new issue of a breakthrough of solving information integration. in the existing application software, or through the main manual to achieve. Now, some people have raised through the statistics and machine learning methods to improve Ontology mapping methods, but have not formed a successful application software. This paper has been in the mapping method, which is based on the concept of names, concepts example, the concept definition of the concept of context and the structure of the concept of integrated semantic similarity calculation model, detailed analysis of the five components of the similarity calculation presented five weight value of the defined strategy. Meanwhile, in order to improve the accuracy of the maps was proposed based on the high-precision Ontology mapping method to be improved and made the corresponding feasibility analysis.
Keywords/Search Tags:ontology, ontology mapping, information integration, Semantic similarity
PDF Full Text Request
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