• DocumentCode
    2546125
  • Title

    Constructing ontology for customer information in consumer support systems

  • Author

    Lin, Jyhjong ; Hsu, Changling ; Yu, Jenperng ; Chang, Tsairyuan ; Chung, Yi-Chen

  • Author_Institution
    Dept of Inf. Manage., Ming Chuan Univ., Taoyuan, Taiwan
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    128
  • Lastpage
    132
  • Abstract
    For enterprises, customer relationships have been commonly recognized as a critical factor to succeed their business. Effective customer relationships could help enterprises deliver services to customers based on their needs, preferences, or past transactions. In this context, many discussions have already been presented where Consumer Support Systems (CSS) is most recently introduced that alleviates the shortcomings in other approaches by a 4-layer framework of collaborative mechanisms to support effective information/service provision between enterprises and customers. Since in CSS customers get used to participate in various communities to share or co-learn information about their experiences or requests on enterprises, a comprehensive structure for such information is therefore necessary for its easy sharing or co-learning among these customers. For this need and as a pristine way for knowledge-sharing by ontology, we present in this paper a method for the construction of an ontology that describes customer information with an easy understood structure. The method starts from the specification of the ontology based on the experiences of customers, through the browsing of their new ideas, and ends with the verification of its consistency. To illustrate, the method is applied in an exemplified application for travel arrangement.
  • Keywords
    customer relationship management; groupware; knowledge management; ontologies (artificial intelligence); collaborative mechanisms; consumer support systems; customer information; knowledge sharing; ontology construction; travel arrangement; Cascading style sheets; Collaboration; Context-aware services; Customer relationship management; Information management; Intelligent agent; Knowledge management; Ontologies; Vocabulary; community; customer information; customer relationship management; method; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477723
  • Filename
    5477723