XJIPC OpenIR  > 多语种信息技术研究室
Thesis Advisor周俊林
Degree Grantor中国科学院研究生院
Place of Conferral北京
Degree Discipline计算机应用技术
Keyword语义web 资源描述框架 领域本体 跨库检索
Other Abstractlong with Internet developed and electronic resource increased, cross database search system gathers in legion different and dispersive information resource. It resolves the contradiction between speciality of resource and the identity of users’ demand, provides uniform interface for users and improves the efficiency of resource utilization. Nevertheless, cross database search system is different from single database search system, the distributive data sources which inter database search system gathered diversify in data model, data structure and access rules. What’s more, they use different language and canonical glossary. Therefore, how to improve the ratio of querying more exact results of cross database search system and realize the semantic search for information resources is a momentous challenge in the field of cross database search. Semantic web is an extension of the current web and can express information resource in a specific and formalized mode. It can enhance the mutual manipulation between different system and the share of knowledge. This paper aims at the concrete trait of cross database search and the defect of current cross database search technology, puts forward a model framework of cross database retrieval system based on semantic web. And analyzes the key modules of the cross database retrieval system. Then, we have successfully developed an experimental system —— the cross database book search system. The system selects computer books’ name as conception search objects, and builds related domain ontologies. Through the Semantic reasoning of user’s search condition, it meets user’s requirements of supporting semantic retrieval for search condition. At last, semantic web technology is applied in an apparatus warehouse integrative retrieval system. The actual performance of the retrieval platform validates the feasibility of cross database search technology based on semantic web.
Document Type学位论文
Recommended Citation
GB/T 7714
蒋瑞欢. 基于语义Web的跨库智能检索技术的研究及其应用[D]. 北京. 中国科学院研究生院,2008.
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