Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
The PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
ANEMONE: an effective minimal ontology negotiation environment
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A method to combine linguistic ontology-mapping techniques
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Reaching agreement over ontology alignments
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
A survey of schema-based matching approaches
Journal on Data Semantics IV
Matching unstructured vocabularies using a background ontology
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Proceedings of the 14th Brazilian Symposium on Multimedia and the Web
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This paper describes a partial and dynamic ontology mapping model for agents to achieve an agreement about meaning of concepts used in the content part of messages during a dialog. These agents do not share an ontology. The proposed model prescribes phases to cluster and to select the clusters with background knowledge in an ontology, operations to interpret the content of a message based on syntactic, semantic approaches, and the dialog between agents according to the difficulty in finding similar concepts in both ontologies. A case study is presented.