Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Facilitating the Exchange of Explicit Knowledge through Ontology Mappings
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Ontology mapping: the state of the art
The Knowledge Engineering Review
A string metric for ontology alignment
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Formal concept analysis as mathematical theory of concepts and concept hierarchies
Formal Concept Analysis
Matching ontologies in open networked systems: techniques and applications
Journal on Data Semantics V
Review: Formal concept analysis in knowledge processing: A survey on applications
Expert Systems with Applications: An International Journal
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Ontology mapping is a precondition to achieve interoperability between agents or services using different ontologies. Today, a series of methods for ontology mapping have been reported. However in the existing literature, the focus has so far been on computing similarity and establishing equal mapping relation. In practice, it is possible to have other mapping relations besides equal mapping, such as subclass mapping relation. In this paper a new method for ontology mapping, FCA-Mapping, is presented. FCA-Mapping is based on Formal Concept Analysis (FCA) theory. By computing relation measures between entities of different ontologies, it can automatically establish equal and subclass mapping relations.