Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Semantic interoperability in global information systems
ACM SIGMOD Record
Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)
Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)
Ontology Matching
Automatic Ontology Matching via Upper Ontologies: A Systematic Evaluation
IEEE Transactions on Knowledge and Data Engineering
Using an ECG reference ontology for semantic interoperability of ECG data
Journal of Biomedical Informatics
Ontology alignment evaluation initiative: six years of experience
Journal on data semantics XV
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Ontology alignment is the process of finding corresponding entities with the same intended meaning in different ontologies. In scenarios where an ontology conceptually describes the contents of a data repository, this provides valuable information for the purpose of semantic data integration which, in turn, is a fundamental issue for improving business intelligence. A basic, yet unsolved, issue in semantic data integration is how to ensure that only data related to the same real-world entity is merged. This requires that each concept is precisely defined into the ontology. From another perspective, foundational ontologies describe very general concepts independent of a particular domain, and precisely define concept meta-properties so as to make the semantics of each concept in the ontology explicit. In this paper, we discuss how the use of foundational ontology can improve the precision of the ontology alignment, and illustrate some examples using the UFO foundational ontology.