Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Semantic Commitment for Designing Ontologies: A Proposal
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Data Exchange: Semantics and Query Answering
ICDT '03 Proceedings of the 9th International Conference on Database Theory
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Learning to match ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
iMAP: discovering complex semantic matches between database schemas
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
sPLMap: a probabilistic approach to schema matching
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Information retrieval and machine learning for probabilistic schema matching
Information Processing and Management: an International Journal
Integration of Semantically Annotated Data by the KnoFuss Architecture
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Approximate Structure-Preserving Semantic Matching
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
Deep Semantic Mapping between Functional Taxonomies for Interoperable Semantic Search
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Description logic programs under probabilistic uncertainty and fuzzy vagueness
International Journal of Approximate Reasoning
Ontology matching using vector space
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
A semantic management model to enable the integrated management of media and devices
Multimedia Tools and Applications
Comparing XML files with a DOGMA ontology to generate Ω-RIDL annotations
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
RUBIX: a framework for improving data integration with linked data
Proceedings of the First International Workshop on Open Data
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This paper introduces a method and a tool for automatically aligning OWL ontologies, a crucial step for achieving the interoperability of heterogeneous systems in the Semantic Web. Different components are combined for finding suitable mapping candidates (together with their weights), and the set of rules with maximum matching probability is selected. Machine learning-based classifiers and a new classifier using the structure and the semantics of the OWL ontologies are proposed. Our method has been implemented and evaluated on an independent test set provided by an international ontology alignment contest. We provide the results of this evaluation with respect to the other competitors.