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基于语义Web的搜索引擎研究
引用本文:吴根斌,丁振凡.基于语义Web的搜索引擎研究[J].计算机与现代化,2012(8):129-133.
作者姓名:吴根斌  丁振凡
作者单位:华东交通大学信息工程学院,江西南昌,330013
摘    要:传统搜索引擎是基于关键字的检索,然而文档的关键字未必和文档有关,而相关的文档也未必显式地包含此关键字。基于语义Web的搜索引擎利用本体技术,可以很好地对关键字进行语义描述。当收到用户提交的搜索请求时,先在已经建立好的本体库的基础上对该请求进行概念推理,然后将推理结果提交给传统的搜索引擎,最终将搜索结果返回给用户。相对于传统的搜索引擎,基于语义Web的搜索引擎有效地提高了搜索的查全率和查准率。

关 键 词:语义Web  搜索引擎  本体

Research on Search Engine Based on Semantic Web
WU Gen-bin , DING Zhen-fan.Research on Search Engine Based on Semantic Web[J].Computer and Modernization,2012(8):129-133.
Authors:WU Gen-bin  DING Zhen-fan
Affiliation:(School of Information Engineering, East China Jiaotong University, Nanchang 330013, China)
Abstract:Traditional search engines are keyword-based retrieval. However, the keywords of a document may not be related with the document, and the related documents may also not explicitly contain this keyword. Using ontology technology, search engine based on semantic Web could semantically describe the keywords. When receiving a user' s request of query, system executes logical reasoning on the ontology already created and sends the result of logical reasoning to the traditional engine. The system re- turns the result of search to user at last. Comparing with the traditional search engine, the search engine based on semantic Web can effectively improve the coverage rate and precision rate.
Keywords:semantic Web  search engine  ontology
本文献已被 CNKI 维普 万方数据 等数据库收录!
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