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

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Proceedings of the Eighth International Conference on Management Science and Engineering Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 281))

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.

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Acknowledgments

The research of this work has been partially funded by project VortalSocialApps, co-financed by VORTAL and IAPMEI and the European Funds QREN COMPETE, and also would like to thank Fundação da Ciência e Tecnologia for supporting the research center UNIDEMI through the grant PEst-OE/EME/UI0667/2011.

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Authors and Affiliations

  1. Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Campus de Caparica, 2829-516, Caparica, Portugal

    Ahmad Mehrbod, Aneesh Zutshi & António Grilo

  2. Unidade de Investigação em Engenharia Mecânica e Industrial (UNIDEMI), FCT/UNL, Campus de Caparica, 2829-516, Caparica, Portugal

    Ahmad Mehrbod, Aneesh Zutshi & António Grilo

Authors
  1. Ahmad Mehrbod
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  2. Aneesh Zutshi
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  3. António Grilo
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Corresponding author

Correspondence to Ahmad Mehrbod .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Jiuping Xu

  2. Depart de Enge Mecânica e Industrial, Faculdade de Ciências e Tecnologia - Universidade Nova de Lisboa (FCT/UNL), Caparica, Portugal

    Virgílio António Cruz-Machado

  3. LeBow College of Business Department of Decision Sciences, Drexel University, Philadelphia, Pennsylvania, USA

    Benjamin Lev

  4. Institute of Operations Research, Karlsruhe Institute ofTechnology (KIT), Karlsruhe, Germany

    Stefan Nickel

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Mehrbod, A., Zutshi, A., Grilo, A. (2014). A Vector Space Model Approach for Searching and Matching Product E-Catalogues. In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55122-2_71

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  • DOI: https://doi.org/10.1007/978-3-642-55122-2_71

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55121-5

  • Online ISBN: 978-3-642-55122-2

  • eBook Packages: EngineeringEngineering (R0)

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