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Research On Ontology Mapping Technology For Finding The Semantic Relations

Posted on:2011-10-26Degree:MasterType:Thesis
Country:ChinaCandidate:M J ShiFull Text:PDF
GTID:2178360305993582Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Ontology is a share conceptual, specific, formalized specification. With the development of the semantic web, the ontology becomes more and more importance, which is a great means of representing the domain knowledge and those relations, it is applied in wide aspects. But as the number of ontology growing, ontology mapping between different ontologies is the hot and hard problem, at now, There are many researches on ontology mapping, but there still exists some problems, for example, how to choose the best suitable algorithms for different ontology, how use ontology information to reach the optimal effect.in this paper, the backdrop of the research domain, the purpose of researching and developing mapping system and current research situation of Ontology Mapping have been introduced. then, Aiming to the problems of high complexity and easily getting redundant and wrong candidate semantic relations sets in the previous mining methods. This paper proposes an improved mining method of candidate semantic relations sets. This method obtain the initial candidate semantic relations sets by considering the name information, and make use of the structure information to spread, produce to the final sets of candidate semantic relations sets. Finally, by analysing the defects of the previous mapping methods, this paper has researching the multi-strategies, making use of the credibility to evaluating the strategy, on the basis of this, this paper proposes a new combing method by the ontology adaption, improving the performance of ontology mapping.Based on the research above, this paper has designing and implementing the system "S-Mapping". The Experiment result shows that our system improves the precision and recall, thus gets a better result.
Keywords/Search Tags:Semantic Web, Ontology, candidate semantic relation sets, mapping strategy, weight
PDF Full Text Request
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