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.
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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. https://doi.org/10.1007/978-3-642-39878-0_5
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DOI: https://doi.org/10.1007/978-3-642-39878-0_5
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