• DocumentCode
    2059363
  • Title

    A Vector Space Model Approach to Compute Partnership Match

  • Author

    Kumar, Harshit ; Park, Pil Seong

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Suwon, Suwon, South Korea
  • fYear
    2010
  • fDate
    5-7 Aug. 2010
  • Firstpage
    252
  • Lastpage
    257
  • Abstract
    Companies are increasingly moving towards globalization due to advancement in ICT and communication technologies. However, a phobia still grips them about establishing a partnership that spans geographically distributed location. In this work, we reviewed the problems that companies confront while forging partnerships. Drawn upon the review, we select a set of attributes and construct an attribute ontology that provides a common platform for defining requirement which is machine process able. Architecture is presented for establishing partnership between small and medium sized enterprise, define similarity measure for finding match between partners. The similarity measure borrows the concepts of Vector Space Model, improvises it to fit in the Supplier Selection Problem. Also a proof of concept is discussed to demonstrate and validate the proposed architecture.
  • Keywords
    business data processing; ontologies (artificial intelligence); small-to-medium enterprises; ICT; attribute ontology; partnership match; small and medium sized enterprise; supplier selection problem; vector space model approach; Companies; Computational modeling; Computer architecture; Mathematical model; Ontologies; Semantics; E-Business; Ontology; Supplier Selection; Vector Space Model; Web Information System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Intelligent Computing (ICIIC), 2010 First International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4244-7963-4
  • Electronic_ISBN
    978-0-7695-4152-5
  • Type

    conf

  • DOI
    10.1109/ICIIC.2010.47
  • Filename
    5571440