• DocumentCode
    2918292
  • Title

    An Ontology Mapping Extraction Method Based on Set Covering

  • Author

    Xia, Hongke ; Zheng, Xuefeng ; Hu, Xiang ; Shi, Yunmei

  • Author_Institution
    Inf. Eng. Inst., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    191
  • Lastpage
    194
  • Abstract
    Ontology Mapping is the foundation of semantic query and semantic integration based on ontology. As the crucial point of ontology mapping, the task of mapping extraction is to find whether there exists the ontology mapping among the similarities between source ontology and target ontology. In this paper the problem of mapping extraction is regarded as the problem of set covering, and a novel ontology mapping extraction algorithm based on set covering SME (SCM-based Mapping Extraction) is proposed, by which the property set which covers the training data set in maximum degree is searched during training stage, and the mapping extraction is carried out by means of the conjunction of the properties of property set in testing data set during testing stage. Experimental evaluations show that this method has better comprehensive performances compared to other algorithms.
  • Keywords
    feature extraction; greedy algorithms; ontologies (artificial intelligence); SCM based mapping extraction; ontology mapping extraction method; semantic integration; semantic query; set covering problem; source ontology; target ontology; Computer science; Data mining; Information science; Information systems; Labeling; Ontologies; Power engineering and energy; Power engineering computing; Testing; Training data; Mapping Extraction; data-dependent ball; property spaces; set covering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Mining, 2009. WISM 2009. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3817-4
  • Type

    conf

  • DOI
    10.1109/WISM.2009.46
  • Filename
    5369483