• DocumentCode
    593882
  • Title

    Redundant instances and incorrect instances detection mechanism in ontology population

  • Author

    Xiaoyun Wang ; Jianping Yao ; Haocheng Wang

  • Author_Institution
    Manage. Sci. & Eng., HangZhou DianZi Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    18-20 Dec. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the rapid development of the Internet, many researchers have been focused on ontology knowledge bases updating. Ontology population has played an important role in updating ontology knowledge bases. However, most domestic and foreign scholars focus on the process of ontology population, while neglecting how to detect and eliminate redundant instances and how to detect the results of population. In this paper, we proposed a mechanism based on instance matching algorithm, trying to verify the results of population, we also present an empirical analysis to verify the validity of the method.
  • Keywords
    Internet; knowledge based systems; ontologies (artificial intelligence); Internet; incorrect instance detection mechanism; instance matching algorithm; ontology knowledge base updating; ontology population; redundant instance detection mechanism; Accuracy; Data mining; Ontologies; Semantic Web; Semantics; Sociology; Statistics; Ontology population; instance matching; redundant instance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Industrial Informatics (ICCSII), 2012 International Conference on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4673-5155-3
  • Type

    conf

  • DOI
    10.1109/ICCSII.2012.6454616
  • Filename
    6454616