• DocumentCode
    2100750
  • Title

    Research on a Retrieval System Based on Semantic Web

  • Author

    Qu, Junhua ; Wei, Chao ; Wang, Wenjuan ; Liu, Fei

  • Author_Institution
    Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2011
  • fDate
    17-18 Sept. 2011
  • Firstpage
    543
  • Lastpage
    545
  • Abstract
    Currently, the World Wide Web is a medium for storing and sharing data. Search based on keyword matching and content classified are two methods of the traditional search, however, their performance of processing exponential growth data is unsatisfactory. The concept of the Semantic Web, which was proposed to solve the shortage of network intelligence in 2001, provided the feasibility solutions of retrieving. The Semantic Web application could become a reality since XML (Extensible Markup Language), RDF (Resource Description Framework) and OWL (Web Ontology Language) are improved and the emergence of Jena which is the Semantic Web [1] development tools. So the concept of semantic retrieval with Semantic Web technology and search engine technology comes up, we aim to propose a system Architecture based on Semantic Web.
  • Keywords
    XML; information retrieval; knowledge representation languages; pattern classification; pattern matching; search engines; semantic Web; Jena; OWL; RDF; Web ontology language; World Wide Web; XML; content classified; data sharing; data storage; exponential growth data processing; extensible markup language; keyword matching; resource description framework; retrieval system; search engine technology; semantic Web development tools; semantic retrieval concept; system Architecture; Data models; Engines; Ontologies; Resource description framework; Search engines; XML; OWL; RDF; XML; jena; search engine; semantic web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing & Information Services (ICICIS), 2011 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4577-1561-7
  • Type

    conf

  • DOI
    10.1109/ICICIS.2011.142
  • Filename
    6063320