A Vector Space Model Approach for Searching and Matching Product E-Catalogues

A. Mehrbod, A. Zutshi, A. Grilo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

In e-procurement, companies use e-catalogues to exchange product information with business partners. The large variety of e-catalogue formats which are used by various companies make it difficult to match a product request from a buyer (buyer e-catalogue) with products e-catalogues. While, there are too many different standards for e-catalogues in use, often companies do not follow standard formats. Hence we often encounter a plethora of catalogue formats ranging from unstructured text to well-structured XML documents. One traditional approach to solve this problem is to convert different formats to a general common structure. But within this heterogeneous set of known or even unknown structures achieving a global structure is impractical. In this paper, vector space model has been used to measure the similarity ratio of providers’ e-catalogues with a buyer’s e-catalogue. Attributes of known structures and their values have been used as terms and their weights in the vectors to find the correlation of e-catalogues based on relationship of common tags. In order to associate the structures in calculating similarity, levels of attributes in xml documents are also included in the terms. Natural language processing is used to extract the same attributes from unstructured or unknown structured documents.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Management Science and Engineering Management - Focused on Computing and Engineering Management
EditorsV. A. Cruz-Machado, B. Lev, J. Xu , S. Nickel
PublisherSpringer-Verlag
Pages833-842
Number of pages10
Volume281
ISBN (Electronic)78-364255121-5
DOIs
Publication statusPublished - 2014
Event8th International Conference on Management Science and Engineering Management, ICMSEM 2014 - Lisbon, Portugal
Duration: 25 Jul 201427 Jul 2014
Conference number: 8th

Publication series

NameAdvances in Intelligent Systems and Computing
Volume281
ISSN (Print)21945357

Conference

Conference8th International Conference on Management Science and Engineering Management, ICMSEM 2014
Abbreviated titleICMSEM 2014
CountryPortugal
CityLisbon
Period25/07/1427/07/14

Keywords

  • E-catalogue
  • E-procurement
  • Information retrieval
  • Vector space model

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