The recurrent cascade-correlation architecture
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Conceptual schema analysis: techniques and applications
ACM Transactions on Database Systems (TODS)
Handling semantic heterogeneities using declarative agreements
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Learning to match ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
Computer Supported Cooperative Work
eTuner: tuning schema matching software using synthetic scenarios
The VLDB Journal — The International Journal on Very Large Data Bases
Ontology Matching
NCI Thesaurus: A semantic model integrating cancer-related clinical and molecular information
Journal of Biomedical Informatics
A visual tool for ontology alignment to enable geospatial interoperability
Journal of Visual Languages and Computing
Human-Computer Interaction
Seeking a foundation for context-aware computing
Human-Computer Interaction
Improving XML schema matching performance using Prüfer sequences
Data & Knowledge Engineering
RiMOM: A Dynamic Multistrategy Ontology Alignment Framework
IEEE Transactions on Knowledge and Data Engineering
Ontology matching with semantic verification
Web Semantics: Science, Services and Agents on the World Wide Web
Optimum design of structures by an improved genetic algorithm using neural networks
Advances in Engineering Software - Selected papers from civil-comp 2003 and AlCivil-comp 2003
Proceedings of the 18th ACM conference on Information and knowledge management
AgreementMaker: efficient matching for large real-world schemas and ontologies
Proceedings of the VLDB Endowment
An adaptive ontology mapping approach with neural network based constraint satisfaction
Web Semantics: Science, Services and Agents on the World Wide Web
Discovering evolving regions in life science ontologies
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
On matching large life science ontologies in parallel
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
Schema Matching and Mapping
Learning ontology alignments using recursive neural networks
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Ontology alignment evaluation initiative: six years of experience
Journal on data semantics XV
LogMap: logic-based and scalable ontology matching
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
A large scale taxonomy mapping evaluation
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Discrete recurrent neural networks for grammatical inference
IEEE Transactions on Neural Networks
Pruning recurrent neural networks for improved generalization performance
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
YAM++: a multi-strategy based approach for ontology matching task
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Ontology Matching: State of the Art and Future Challenges
IEEE Transactions on Knowledge and Data Engineering
Applications of ontologies in knowledge representation of human perception
International Journal of Metadata, Semantics and Ontologies
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Achieving high match accuracy for a large variety of ontologies, considering a single matcher is often not sufficient for high match quality. Therefore, combining the corresponding weights for different semantic aspects, reflecting their different importance or contributions becomes unavoidable for ontology matching. Combining multiple measures into a single similarity metric has been traditionally solved using weights determined manually by an expert, or calculated through general methods e.g. average or sigmoid function, however this does not provide a flexible and self-configuring matching tool. In this paper, an intelligent combination using Artificial Neural Network ANN as a machine learning-based method to ascertain how to combine multiple similarity measures into a single aggregated metric with the final aim of improving the ontology alignment quality is proposed. XMap++ is applied to benchmark and anatomy tests at OAEI campaign 2012. Results show that neural network boosts the performance in most cases, and that the proposed novel approach is competitive with top-ranked system.