• DocumentCode
    2179327
  • Title

    Practical issues for building a product ontology system

  • Author

    Lee, Ig-Hoon ; Lee, Suekyung ; Lee, Taehee ; Lee, Sang-goo ; Kim, Dongkyu ; Chun, Jonghoon ; Lee, Hyunja ; Shim, Junho

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Seoul Nat. Univ., South Korea
  • fYear
    2005
  • fDate
    38451
  • Firstpage
    16
  • Lastpage
    25
  • Abstract
    A base of clearly defined product information is a key foundation for an e-commerce system. The manipulation and exchange of semantically enriched and precise product information can enhance the quality of an e-commerce system and offer a high level of interoperability with other systems. Product information consists of product attributes and the relationships between products. Product categorization (or classification) is one type of such relationships. Ontology can play an important role in the formalization of product information. Although the idea of utilizing ontology for e-catalogs has been raised before, we are yet to find an operational implementation of applying ontology in the domain. In this paper, we report on our recent effort to build an operational product ontology system for the government procurement service. The system is designed to serve as a product ontology knowledge base; not only for the design and construction of product databases but also for search and discovery of products. We introduce some of the issues that we have experienced in the project, so that our work may serve as a reference model for similar projects in the future.
  • Keywords
    Internet; electronic commerce; government data processing; knowledge based systems; ontologies (artificial intelligence); procurement; e-catalog; e-commerce system; government procurement service; product categorization; product database; product information; product ontology knowledge base; product ontology system; Computer science; Databases; Electronic commerce; Government; Humans; Information analysis; Markup languages; Ontologies; Procurement; Resource description framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Issues in E-Commerce, 2005. Proceedings. International Workshop on
  • Print_ISBN
    0-7695-2401-X
  • Type

    conf

  • DOI
    10.1109/DEEC.2005.17
  • Filename
    1517695