A vector space model for automatic indexing
Communications of the ACM
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Database intergration using neural networks: implementation and experiences
Knowledge and Information Systems
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
iMAP: discovering complex semantic matches between database schemas
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Semantic-integration research in the database community
AI Magazine - Special issue on semantic integration
Ontology Matching
An approach to Ontology Mapping based on the Lucene search engine library
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
Falcon-AO: A practical ontology matching system
Web Semantics: Science, Services and Agents on the World Wide Web
Learning Concept Mappings from Instance Similarity
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Integrating multiple internet directories by instance-based learning
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
An empirical study of instance-based ontology matching
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Putting ontology alignment in context: usage scenarios, deployment and evaluation in a library case
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
ISWC '09 Proceedings of the 8th International Semantic Web Conference
What is concept drift and how to measure it?
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Concept drift and how to identify it
Web Semantics: Science, Services and Agents on the World Wide Web
OtO matching system: a multi-strategy approach to instance matching
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
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Ontology matching is a promising step towards the solution to the interoperability problem of the Semantic Web. Instance-based methods have the advantage of focusing on the most active parts of the ontologies and reflect concept semantics as they are actually being used. Previous instance-based mapping techniques were only applicable to cases where a substantial set of instances shared by both ontologies. In this paper, we propose to use a lexical search engine to map instances from different ontologies. By exchanging concept classification information between these mapped instances, an artificial set of common instances is built, on which existing instance-based methods can apply. Our experiment results demonstrate the effectiveness and applicability of this method in broad thesaurus mapping context.