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Using BMEcat Catalogs as a Lever for Product Master Data on the Semantic Web

  • Alex Stolz
  • Benedicto Rodriguez-Castro
  • Martin Hepp
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7882)

Abstract

To date, the automatic exchange of product information between business partners in a value chain is typically done using Business-to-Business (B2B) catalog standards such as EDIFACT, cXML, or BMEcat. At the same time, the Web of Data, in particular the GoodRelations vocabulary, offers the necessary means to publish highly-structured product data in a machine-readable format. The advantage of the publication of rich product descriptions can be manifold, including better integration and exchange of information between Web applications, high-quality data along the various stages of the value chain, or the opportunity to support more precise and more effective searches. In this paper, we (1) stress the importance of rich product master data for e-commerce on the Semantic Web, and (2) present a tool to convert BMEcat XML data sources into an RDF-based data model anchored in the GoodRelations vocabulary. The benefits of our proposal are tested using product data collected from a set of 2500+ online retailers of varying sizes and domains.

Keywords

Product Model Unit Code Online Shop Online Retailer Product Instance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Bechhofer, S., van Harmelen, F., Hendler, J., Horrocks, I., McGuinness, D.L., Patel-Schneider, P.F., Stein, L.A.: OWL Web Ontology Language Reference. Tech. rep., World Wide Web Consortium (2004), http://www.w3.org/TR/owl-ref/
  2. 2.
    Beneventano, D., Montanari, D.: Ontological Mappings of Product Catalogues. In: Shvaiko, P., Euzenat, J., Giunchiglia, F., Stuckenschmidt, H. (eds.) OM. CEUR Workshop Proceedings, vol. 431. CEUR-WS.org (2008)Google Scholar
  3. 3.
    Brunner, J.S., Ma, L., Wang, C., Zhang, L., Wolfson, D.C., Pan, Y., Srinivas, K.: Explorations in the Use of Semantic Web Technologies for Product Information Management. In: Proceedings of the 16th International Conference on World Wide Web, pp. 747–756. ACM, New York (2007)CrossRefGoogle Scholar
  4. 4.
    Di Noia, T., Di Sciascio, E., Donini, F.M., Mongiello, M.: A System for Principled Matchmaking in an Electronic Marketplace. In: Proceedings of the 12th International Conference on World Wide Web, pp. 321–330. ACM, New York (2003)Google Scholar
  5. 5.
    Fensel, D., Ding, Y., Omelayenko, B., Schulten, E., Botquin, G., Brown, M., Flett, A.: Product Data Integration in B2B E-Commerce. IEEE Intelligent Systems 16(4), 54–59 (2001)CrossRefGoogle Scholar
  6. 6.
    Hepp, M.: eClassOWL: A Fully-Fledged Products and Services Ontology in OWL. In: Poster Proceedings of the 4th International Semantic Web Conference, Galway, Ireland (2005)Google Scholar
  7. 7.
    Hepp, M.: Products and Services Ontologies: A Methodology for Deriving OWL Ontologies from Industrial Categorization Standards. International Journal on Semantic Web and Information Systems 2(1), 72–99 (2006)CrossRefGoogle Scholar
  8. 8.
    Hepp, M.: ProdLight: A Lightweight Ontology for Product Description Based on Datatype Properties. In: Abramowicz, W. (ed.) BIS 2007. LNCS, vol. 4439, pp. 260–272. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  9. 9.
    Hepp, M.: GoodRelations: An Ontology for Describing Products and Services Offers on the Web. In: Gangemi, A., Euzenat, J. (eds.) EKAW 2008. LNCS (LNAI), vol. 5268, pp. 329–346. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  10. 10.
    Hepp, M., de Bruijn, J.: GenTax: A Generic Methodology for Deriving OWL and RDF-S Ontologies from Hierarchical Classifications, Thesauri, and Inconsistent Taxonomies. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 129–144. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  11. 11.
    Mattern, M.: Transforming BMEcat Catalogs into Semantic Web Annotation Data for Offerings. Master thesis, University of Innsbruck, Innsbruck, Austria (2009)Google Scholar
  12. 12.
    Schmitz, V., Leukel, J., Kelkar, O.: Specification BMEcat 2005. Bundesverband Materialwirtschaft, Einkauf und Logistik e.V., Frankfurt am Main, Germany (2005)Google Scholar
  13. 13.
    Stonebraker, M., Hellerstein, J.M.: Content Integration for E-Business. In: Proceedings of the 2001 ACM SIGMOD International Conference on Management of Data, pp. 552–560. ACM, New York (2001)CrossRefGoogle Scholar
  14. 14.
    United Nations Economic Commission for Europe (UNECE): Recommendation No. 20: Codes for Units of Measure Used in International Trade. UN/CEFACT Information Content Management Group (2006)Google Scholar
  15. 15.
    United States Census Bureau: Quarterly Retail E-Commerce Sales: 3rd Quarter 2012. U.S. Department of Commerce, Washington, DC, USA (2012)Google Scholar
  16. 16.
    Wang, X., Sun, X., Cao, F., Ma, L., Kanellos, N., Zhang, K., Pan, Y., Yu, Y.: SMDM: Enhancing Enterprise-Wide Master Data Management Using Semantic Web Technologies. Proc. VLDB Endow. 2(2), 1594–1597 (2009)Google Scholar
  17. 17.
    Weber, A.: Marktanalyse von Software für Produkt-Informations-Management (PIM). Bachelor thesis, Universität der Bundeswehr München, Neubiberg, Germany (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Alex Stolz
    • 1
  • Benedicto Rodriguez-Castro
    • 1
  • Martin Hepp
    • 1
  1. 1.E-Business and Web Science Research GroupUniversität der Bundeswehr MünchenNeubibergGermany

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