Paper Info
Title
Matching heterogeneous e-catalogues in B2B marketplaces using vector space model
Abstract
Competitive pressures require manufacturers to continually find ways to reduce costs and increase market access. Internet-based technologies such as e-procurement electronic procurement provide increased buying and selling opportunities to manufacturers. E-catalogues are electronic representations of information about the products and services of an enterprise and play a key role in e-procurement. Matching an e-catalogue from a buyer with product e-catalogues provided by the suppliers helps companies to find partners in e-marketplaces. Since each business actor may use a different structure and classification for e-catalogues, it is not easy to match a product with the e-catalogue requested by another partner. This article uses vector space model VSM and customises it to solve the matching problem of the e-catalogues. The proposed approach uses a combinations of values, names and location of attributes of structured documents to find the syntactic correlation of e-catalogues. It also uses ontologies to expand the matching mechanism with semantic relationships of data attributes. The proposed approach makes it possible to use the benefits of all available ontologies and schemas but not to be dependent on them. The experimental results show that the proposed approach provides a more accurate similarity ratio while matching similar e-catalogues compared with the basic approach of just using VSM.
Year
DOI
Venue
2017
10.1080/0951192X.2015.1107915
Int. J. Computer Integrated Manufacturing
Keywords
Field
DocType
vector space model
Ontology (information science),Market access,Computer science,Vector space model,Procurement,Syntax,Schema (psychology),Database,The Internet
Journal
Volume
Issue
ISSN
30
1
0951-192X
Citations 
PageRank 
References 
2
0.42
13
Authors
4
Name
Order
Citations
PageRank
Ahmad Mehrbod121.77
Aneesh Zutshi2234.44
Antonio Grilo315511.80
Ricardo Jardim-Goncalves436731.52