Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Using Bayesian decision for ontology mapping
Web Semantics: Science, Services and Agents on the World Wide Web
Fuzzy Ontology, Fuzzy Description Logics and Fuzzy-OWL
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
A Conceptual Graph Based Approach to Ontology Similarity Measure
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
A Formal Model of Fuzzy Ontology with Property Hierarchy and Object Membership
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Ontology matching using vector space
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Using an ECG reference ontology for semantic interoperability of ECG data
Journal of Biomedical Informatics
A bayesian network approach to ontology mapping
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Towards a fuzzy description logic for the semantic web (preliminary report)
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Mapping fuzzy concepts between fuzzy ontologies
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
A vector space model for semantic similarity calculation and OWL ontology alignment
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
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Fuzzy ontology mapping is an important tool to solve the problem of interoperation among heterogeneous ontologies containing fuzzy information. At present, some researches have been done to expand existing mapping methods to deal with fuzzy ontology. However, these methods can not perform well when creating mappings among multiple fuzzy ontologies in a specific domain. To this end, this paper proposes a new method for fuzzy ontology mapping called FOM-CG (Fuzzy Ontology Mapping based on Conceptual Graph). To reduce unnecessary comparisons for multiple fuzzy ontologies in a domain, FOMCG firstly creates or finds out a Reference Ontology that contains the most common and shared information. The other fuzzy ontologies in the domain are Source Ontologies. Then, these fuzzy ontologies are transformed into conceptual graph sets (i.e. R-set and S-sets). Next, some algorithms are presented to create mappings among conceptual graph sets. Finally, the obtained mappings are transformed into the mappings among fuzzy ontologies. Experimental results with some fuzzy ontologies from the real world indicate that FOM-CG performs encouragingly well.