Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
MAFRA - A MApping FRAmework for Distributed Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
The Piazza Peer Data Management System
IEEE Transactions on Knowledge and Data Engineering
Ontology Evolution: Not the Same as Schema Evolution
Knowledge and Information Systems
Putting context into schema matching
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
ACM SIGMOD Record
Ontology change: Classification and survey
The Knowledge Engineering Review
Falcon-AO: A practical ontology matching system
Web Semantics: Science, Services and Agents on the World Wide Web
Maintaining Semantic Mappings between Database Schemas and Ontologies
Semantic Web, Ontologies and Databases
Ten Challenges for Ontology 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
Managing Change History in Web Ontologies
SKG '08 Proceedings of the 2008 Fourth International Conference on Semantics, Knowledge and Grid
s-XML: An efficient mapping scheme to bridge XML and relational database
Knowledge-Based Systems
Applying an ontology approach to IT service management for business-IT integration
Knowledge-Based Systems
Matching ontologies in open networked systems: techniques and applications
Journal on Data Semantics V
Change management in evolving web ontologies
Knowledge-Based Systems
Mapping adaptation actions for the automatic reconciliation of dynamic ontologies
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Understanding semantic mapping evolution by observing changes in biomedical ontologies
Journal of Biomedical Informatics
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Mappings are established among ontologies for resolving the terminological and conceptual incompatibilities among information networks and information systems. Accommodating new knowledge in domain ontology causes the ontology to change from one consistent state to another. This consequently makes existing mappings among ontologies unreliable and stale due to the changes in resources. Mapping evolution eliminates discrepancies in the existing mappings. The proposed approach offers the benefits of re-establishing mappings among the updated ontologies in less time than is required with existing systems. It only considers the changed resources and eliminates staleness from the mappings. This approach uses the change history to drastically reduce the time required for reconciling mappings among ontologies, as shown in the results.