• DocumentCode
    559890
  • Title

    Class Tag Clustering Algorithm of Clustering Search Engine

  • Author

    Zhou Hong ; Zhu Dong-hua ; Liu Bing-wu

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Beijing Wuzi Univ., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    371
  • Lastpage
    374
  • Abstract
    In order to solve the problems including semantic search, label cluster, theme-related difference of search engines especially under the Chinese environment, this paper aimed to construct a cluster search engine retrieval model suitable for semantic search environment for Chinese through introducing ontology and class label mechanism. Based on the improvement of traditional STC algorithm as well as ontology library and suffix array, this paper studied the class label extraction method of cluster research engine, and put forward related arithmetic of label cluster. The study of cluster research engine label cluster broke through the bottleneck of the semantic research of research engine and information resource management, and solved the single on-line research problem of metasearch and robot engine.
  • Keywords
    information resources; information retrieval; ontologies (artificial intelligence); search engines; Chinese environment; STC algorithm; class label extraction method; class label mechanism; class tag clustering algorithm; cluster research engine; cluster search engine retrieval model; clustering search engine; information resource management; label cluster; metasearch; ontology library; related arithmetic; robot engine; search engines; semantic research; semantic search environment; single on-line research problem; suffix array; theme-related difference; Clustering algorithms; Databases; Engines; Ontologies; Prototypes; Search engines; Semantics; STC; class tag; clustering search engine; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.83
  • Filename
    6113434