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
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;
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
DOI :
10.1109/ICIIC.2010.47