A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Maintaining data warehouses over changing information sources
Communications of the ACM
Managing Multiple Ontologies and Ontology Evolution in Ontologging
Proceedings of the IFIP 17th World Computer Congress - TC12 Stream on Intelligent Information Processing
TIME '99 Proceedings of the Sixth International Workshop on Temporal Representation and Reasoning
Creation and management of versions in multiversion data warehouse
Proceedings of the 2004 ACM symposium on Applied computing
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
Multiversion-based view maintenance over distributed data sources
ACM Transactions on Database Systems (TODS)
Enabling ontology evolution in data integration
Proceedings of the 2010 EDBT/ICDT Workshops
SemCaDo: a serendipitous strategy for learning causal Bayesian networks using ontologies
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Ontology evolution: assisting query migration
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
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More and more integration systems use ontologies to solve the problem of semantic heterogeneities between autonomous databases. To automate the integration process, a number of these systems suppose the existence of a shared domain ontology a priori referenced by the local ontologies embedded in the various sources. When the shared ontology evolves over the time, the evolution may concern (i) the ontology level, (2) the local schema level, and/or (3) the contents of sources. Since sources are autonomous and may evolve independently, managing the evolution of the integrated system turns to an asynchronous versioning problem. In this paper, we propose an approach and a model to deal with this problem in the context of a materialized integration system. To manage the changes of contents and schemas of sources, we adapt the existing solutions proposed in traditional databases. To support ontology changes, we propose the principle of ontological continuity. It supposes that an evolution of an ontology should not make false an axiom that was previously true. This principle allows the management of each old instance using the new version of ontology. With this assumption, we propose an approach, called the floating version model, that fully automate the whole integration process. Our proposed work has been validated by a prototype using ECCO environment and the EXPRESS language.