• DocumentCode
    3276097
  • Title

    The Understanding between Two Agent Crawlers based on Domain Ontology

  • Author

    Wang, Yingyu ; Du, Yajun ; Chen, Shaoming

  • Author_Institution
    Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu, China
  • Volume
    1
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    47
  • Lastpage
    50
  • Abstract
    Ontology is widely used in the computer domain to structure concepts that represent a view of world. In this paper, we present the coordination between two Agent Crawlers based on ontology and try to measure the understanding between them relying on Formal Concept Analysis instead of comparing terms only. Here we propose a novel method on concept similarity for computing the Concept-Concept similarity, the Concept-Ontology similarity and the Ontology-Ontology similarity, and at last we can deduce the understanding between two Agent Crawlers. Finally, we can guide the crawlers effectively in our Search Engine.
  • Keywords
    multi-agent systems; ontologies (artificial intelligence); search engines; agent crawlers; concept-concept similarity; concept-ontology similarity; domain ontology; formal concept analysis; ontology-ontology similarity; search engine; Computational intelligence; Crawlers; Information analysis; Information retrieval; Information systems; Mathematics; Ontologies; Processor scheduling; Relational databases; Search engines; Agent Crawlers; Concept similarity; Formal Concept Analysis; Ontology; the degree of understanding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.204
  • Filename
    5231592