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On the Identification and Representation of Ontology Correspondence Antipatterns

Semantic data integration and application interoperability are recognized challenges in distributed scenarios, and they have long being addressed by ontology alignment techniques, which try to find correspondences between entities that are semantically equivalent in distinct ontologies. However, ontology alignment is still a costly and difficult task, considering the existence of large-scale scenarios and complex domains. This work introduces the concept of a correspondence antipattern, which is essentially a set of generic correspondences that represent an incorrect alignment and can be used as a predefined template to help identify incorrect correspondences between two existing ontologies and thus refine ontology alignments. We also introduce a methodology that assists the identification and construction of ontology correspondence antipatterns, and evaluate it through a case study using datasets from the last three campaigns of OAEI, the Ontology Alignment Evaluation Initiative.