Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Facilitating the Exchange of Explicit Knowledge through Ontology Mappings
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Approximate Information Filtering on the Semantic Web
KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
The Journal of Machine Learning Research
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
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UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Ontology Matching
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WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Advances in Web Semantics I
Mining concept similarities for heterogeneous ontologies
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
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EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
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FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
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The paper proposes an alignment framework for a set of domain ontologies in order to enable their interoperability in a number of information retrieval tasks. The procedure starts by anchoring the domain ontologies concepts to the concepts of a generic reference ontology. This allows the representation of each domain concept as a fuzzy set of reference concepts or instances. Next, the domain concepts are mapped to one another by using fuzzy sets relatedness criteria. The match itself is presented as a fuzzy set of the reference concepts or instances, which allows the comparison of a new ontology directly to the already calculated matches. The paper contains a preliminary evaluation of the approach.