Semi-automated Structural Adaptation of Advanced E-Commerce Ontologies

  • Marek Dudáš
  • Vojtěch Svátek
  • László Török
  • Ondřej Zamazal
  • Benedicto Rodriguez-Castro
  • Martin Hepp
Conference paper

DOI: 10.1007/978-3-642-39878-0_5

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 152)
Cite this paper as:
Dudáš M., Svátek V., Török L., Zamazal O., Rodriguez-Castro B., Hepp M. (2013) Semi-automated Structural Adaptation of Advanced E-Commerce Ontologies. In: Huemer C., Lops P. (eds) E-Commerce and Web Technologies. EC-Web 2013. Lecture Notes in Business Information Processing, vol 152. Springer, Berlin, Heidelberg

Abstract

Most ontologies used in e-commerce are nowadays taxonomies with simple structure and loose semantics. One exception is the OPDM collection of ontologies, which express rich information about product categories and their parameters for a number of domains. Yet, having been created by different designers and with specific bias, such ontologies could still benefit from semi-automatic post-processing. We demonstrate how the versatile PatOMat framework for pattern-based ontology transformation can be exploited for suppressing incoherence within the collection and for adapting the ontologies for an unforeseen purpose.

Keywords

ontology e-commerce GoodRelations transformation ontology pattern linked data 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Marek Dudáš
    • 1
  • Vojtěch Svátek
    • 1
  • László Török
    • 2
  • Ondřej Zamazal
    • 1
  • Benedicto Rodriguez-Castro
    • 2
  • Martin Hepp
    • 2
  1. 1.University of Economics PraguePraha 3Czech Rep.
  2. 2.Univ.der Bundeswehr MunichNeubibergGermany

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