期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：8
页码：7946-7949
出版社：IJECS
摘要：The World wide Web consists of millions of interconnected web pages that provide information to the user present in any part ofthe world. The world wide web is expanding and growing in size and the complexity of the web pages. That is why it is necessary to retrievethe best or the web pages that are more relevant in terms of information for the query entered by the user in search engine. In recent years,semantic search for relevant documents on web has been an important topic of research. Many semantic web search engines have beendeveloped like Ontolook, Swoogle, etc that helps in searching meaningful documents presented on semantic web. To relateentities/texts/documents having same meaning, semantic similarity approach is used based on matching of the keywords which are extractedfrom the documents. In this paper we have a ranking scheme for the semantic web documents by finding the semantic similarity between thedocuments and the query which is specified by the user
