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首页> 外文期刊>International Journal of Web & Semantic Technology >Semantic Query Optimisation with Ontology Simulation
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Semantic Query Optimisation with Ontology Simulation

机译:本体仿真的语义查询优化

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摘要

Semantic Web is, without a doubt, gaining momentum in both industry and academia. The word “Semantic” refers to “meaning” – a semantic web is a web of meaning. In this fast changing and result oriented practical world, gone are the days where an individual had to struggle for finding information on the Internet where knowledge management was the major issue. The semantic web has a vision of linking, integrating and analysing data from various data sources and forming a new information stream, hence a web of databases connected with each other and machines interacting with other machines to yield results which are user oriented and accurate. With the emergence of Semantic Web framework the na?ve approach of searching information on the syntactic web is cliché. This paper proposes an optimised semantic searching of keywords exemplified by simulation an ontology of Indian universities with a proposed algorithm which ramifies the effective semantic retrieval of information which is easy to access and time saving.
机译:毫无疑问,语义网正在工业界和学术界得到发展。 “语义”一词是指“意义” –语义网是意义网。在这个瞬息万变,以结果为导向的实践世界中,个人不得不在互联网上寻找信息的日子已经一去不复返了,而知识管理是主要问题。语义网具有链接,集成和分析来自各种数据源的数据并形成新的信息流的愿景,因此,一个相互连接的数据库网以及与其他机器交互的机器网会产生面向用户和准确的结果。随着语义Web框架的出现,在语法Web上搜索信息的简单方法变得陈腐。本文提出了一种优化的关键词语义搜索,以一种模拟的印度大学本体为例,提出了一种算法,该算法扩展了信息的有效语义检索,易于访问且节省时间。

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