Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Modern Information Retrieval
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Facilitating the Exchange of Explicit Knowledge through Ontology Mappings
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
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
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
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In this paper, we propose a concept mapping method that can be used to find relations among concepts of different ontology. In order to find the relevant relation, this method uses three kinds of knowledge types such as lexical knowledge, domain knowledge and structure information. When the relations are retrieved, each relation is evaluated by comparing instances of each concept which is involved in that relation. With this method, the concept of one ontology can be mapped to other concept of the other ontology, which enables information sharing.