Semi-automated Structural Adaptation of Advanced E-Commerce Ontologies
- 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
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.
Keywordsontology e-commerce GoodRelations transformation ontology pattern linked data
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