文章基本信息

标题：An Efficient and Optimized Sematic Web Enabled Framework (EOSWEF) for Google Search Engine Using Ontology
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作者：Vipin Kumar ; Arun Kumar Tripathi ; Naresh Chandra 等
期刊名称：International Journal of Information Engineering and Electronic Business
印刷版ISSN：2074-9023
电子版ISSN：2074-9031
出版年度：2019
卷号：11
期号：5
页码：40-45
DOI：10.5815/ijieeb.2019.05.06
出版社：MECS Publisher
摘要：Remarkable growth in the electronics and communication field provides ubiquitous services. It also permits to save huge amount of documents on web. As a result, it is very difficult to search a specific and desired information over the Internet. Classical search engines were unable to investigate the content on web intelligently. The tradition searching results has a lot of immaterial information along with desired one as per user query. To overcome from stated problem many modifications are done in traditional search engines to make them intelligent. These search engines are able to analyze the stored data and reflects only appropriate contents as per users query. Semantic Web is an emerging and efficient approach to handle the searching queries. It gathers appropriate information from web pool based on logical reasoning. It also incorporates rule-based system. Semantic web reasonably scrutinizes webs contents using ontology. The learning process of ontology not only intelligently analyze the contents on web but also improves scrutinizing process of search engine. The paper suggests a new.
关键词：Semantic web;Ontology;SWOOGLE;EOSWEF;Semantic search