• DocumentCode
    2739538
  • Title

    E-Commerce Customer Feature Extraction based on Ontology

  • Author

    Li Nan ; Chen Yan

  • Author_Institution
    Dalian Maritime Univ., Dalian
  • fYear
    2007
  • fDate
    5-7 Sept. 2007
  • Firstpage
    415
  • Lastpage
    415
  • Abstract
    In this paper, we develop an ontology-based customer feature extraction method in e-commerce environment. We define e-commerce customer ontology using the term constructors of ontology and demonstrate description logics to construct a semantic-oriented model. The framework of customer information integration is provided to support the query structure. Then, we build a customer ontology and develop a method and process for e-business customer features query and extraction using both query extension and query reconstruction based on it. The method is demonstrated by an example and notable results have been obtained that provides a new way to analyze the customers´ features pattern especially those who trade on internet.
  • Keywords
    customer relationship management; electronic commerce; ontologies (artificial intelligence); query processing; customer information integration; description logics; e-business customer features query; e-commerce customer ontology; ontology-based customer feature extraction; query extension; query reconstruction; semantic-oriented model; Data mining; Educational institutions; Electronic commerce; Feature extraction; Independent component analysis; Logic; Natural languages; Ontologies; Principal component analysis; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
  • Conference_Location
    Kumamoto
  • Print_ISBN
    0-7695-2882-1
  • Type

    conf

  • DOI
    10.1109/ICICIC.2007.277
  • Filename
    4428057