A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Semantic adaptation of schema mappings when schemas evolve
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Ontology Matching
Mapping adaptation under evolving schemas
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Deep Semantic Mapping between Functional Taxonomies for Interoperable Semantic Search
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Reasoning Support for Mapping Revision
Journal of Logic and Computation
Mapping validation by probabilistic reasoning
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Information integration in bioinformatics with ontologies and standards
Semantic techniques for the web
Short Communication: Time efficient reconciliation of mappings in dynamic web ontologies
Knowledge-Based Systems
Ontology Matching: State of the Art and Future Challenges
IEEE Transactions on Knowledge and Data Engineering
COnto-Diff: generation of complex evolution mappings for life science ontologies
Journal of Biomedical Informatics
Understanding semantic mapping evolution by observing changes in biomedical ontologies
Journal of Biomedical Informatics
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The highly dynamic nature of domain ontologies has a direct impact on semantic mappings established between concepts from different ontologies. Mappings must therefore be maintained according to ongoing ontology changes. Since many software applications exploit mappings for managing information and knowledge, it is important to define appropriate adaptation strategies to apply to existing mappings in order to keep their validity over time. In this article, we propose a set of mapping adaptation actions and present how they are used to maintain mappings up-to-date based on ontology change operations of different nature. We conduct an experimental evaluation using life sciences ontologies and mappings. We measure the evolution of mappings based on the proposed approach to mapping adaptation. The results confirm that mappings must be individually adapted according to the different types of ontology change.