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  • 标题:Towards Intelligent Information Retrieval on Web
  • 本地全文:下载
  • 作者:Vandana Dhingra ; Dr. Komal Kumar Bhatia
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2011
  • 卷号:3
  • 期号:04
  • 页码:1721-1726
  • 出版社:Engg Journals Publications
  • 摘要:The World Wide Web is an information resource with virtually unlimited potential. However, this potential is relatively untapped because it is difficult for machines to process and integrate this information meaningfully and today the WWW links more than 15 billion pages. The retrieval of relevant information on web is an issue that is of main concern. As the internet grew and became popular, more and more information is growing over the WWW has increased to such an extent that extracting relevant information became a major issue �anytime one searches on the web, it ends up in hundreds of links that provide information on a particular topic. Extracting useful information is left on user to decide. This paper emphasizes on where today�s search is lacking and need of an intelligent information retrieval system on web and to explore its theoretical framework. This paper also presents the technologies/concepts required to make semantic web a reality like metadata, RDF, URI, XML, XMLS, Triples and Ontologies.
  • 关键词:Semantic web; intelligent retrieval; Triples; Ontologies; RDF; URI; XML; SWD
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