Semi-automated Structural Adaptation of Advanced E-Commerce Ontologies

Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 152)


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.


ontology e-commerce GoodRelations transformation ontology pattern linked data 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.University of Economics PraguePraha 3Czech Rep.
  2. 2.Univ.der Bundeswehr MunichNeubibergGermany

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