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Semantic based query optimization using ontology for knowledge management

机译:使用本体进行知识管理的基于语义的查询优化

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摘要

Today's Environment, Web contributes greatly to the creation of an ever-increasing global information database. Web is a collection of billions of web pages. Web 2.0 is purely based on keyword based searching. Because of using keyword based search engine, people may get relevant or irrelevant information. The amount of time spent to search data from web is enormous. To avoid these difficulties a meaning based search engine is needed. Semantic web is a platform to organize the web in meaningful way for better knowledge management. Our paper focuses on importance of semantic web, how the data are organized in the semantic web using RDF to frame ontology.
机译:在当今的环境中,Web为创建不断增长的全球信息数据库做出了巨大贡献。 Web是数十亿个网页的集合。 Web 2.0完全基于基于关键字的搜索。由于使用基于关键字的搜索引擎,人们可能会获得相关或不相关的信息。从网络搜索数据所花费的时间是巨大的。为了避免这些困难,需要基于含义的搜索引擎。语义网是一种以有意义的方式组织网络以更好地进行知识管理的平台。我们的论文集中在语义网的重要性上,如何使用RDF框架在语义网中组织数据。

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