• DocumentCode
    496356
  • Title

    Ontology-Based Categorization of Web Search Results Using YAGO

  • Author

    Ren, Anjian ; Du, Xiaoyong ; Wang, Puwei

  • Volume
    1
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    800
  • Lastpage
    804
  • Abstract
    One of the major limitations of current search engines is that users could not quickly locate what they want if the input query is too general. Some existing techniques try to cluster Web search results into groups so as to userpsilas quick browsing. In this paper, we present a new approach to categorize the Web search results by using YAGO ontology. It utilizes the YAGO ontology to automatically generate categories for the user´s specific query and classify the search results into appropriate categories. Our experimental results indicate that our method is feasible and effectiveness.
  • Keywords
    ontologies (artificial intelligence); pattern classification; query processing; search engines; Web search result classification; Web search result clustering; YAGO ontology; ontology-based categorization; search engine; user quick browsing; user specific query; Feedback; Humans; Image databases; Image retrieval; Information retrieval; Information systems; Ontologies; Radio frequency; Set theory; Web search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.179
  • Filename
    5193813