Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Ontology mapping: the state of the art
The Knowledge Engineering Review
Learning in FOL with a similarity measure
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
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A central aspect of HCONE-merge is the mapping of ontology concepts to a hidden intermediate ontology by uncovering the intended meaning of concepts. Such a mapping is realized by a semantic morphism from ontology concepts to WordNet senses. Extending methods that have already been proposed, this paper proposes an iterative algorithm for approximating the intended meanings of ontology concepts in a fully automated way. Results from numerous experiments are thoroughly described and conclusions are drawn.