• DocumentCode
    574937
  • Title

    Improving product configurator by the use of ontology and Slow Intelligence system approach

  • Author

    Colace, Francesco ; De Santo, Massimo ; Greco, Luca

  • Author_Institution
    DIEII - Dipt. di Ing. Elettron. ed Ing. Inf., Univ. degli Studi di Salerno, Salerno, Italy
  • fYear
    2011
  • fDate
    Nov. 29 2011-Dec. 1 2011
  • Firstpage
    51
  • Lastpage
    57
  • Abstract
    The ability to create customized product configurations fulfilling user´s needs is a major aim sought by many companies, especially the design and implementation of web-based services that allows users to create and customize in a simple and intuitive way a desired product. To define a common vocabulary that opens possibilities such as the ability to express customer requirements correctly and to exchange knowledge, a popular approach uses ontological formalisms. This paper presents an ontology-based configurator system that maximally satisfies user´s needs starting from the desired requirements, the available components, the context information and previous similar configurations. The process by which the system finds the candidate configuration follows an approach known as Slow Intelligence (SI). This paper presents the proposed approach of SI ontological transformations and its application to product configuration.
  • Keywords
    Web services; ontologies (artificial intelligence); product customisation; production engineering computing; SI ontological transformations; Web-based services; customer requirements; customized product configurations; ontological formalisms; ontology-based configurator system; product configurator; slow intelligence system approach; Context; Indexes; Merging; Microcomputers; Ontologies; Peer to peer computing; Ontology; Product Configurator; Slow Intelligence System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Convergence Information Technology (ICCIT), 2011 6th International Conference on
  • Conference_Location
    Seogwipo
  • Print_ISBN
    978-1-4577-0472-7
  • Type

    conf

  • Filename
    6316573