A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Agent-based semantic interoperability in infosleuth
ACM SIGMOD Record
Distributed and Parallel Databases
So Far (Schematically) yet So Near (Semantically)
Proceedings of the IFIP WG 2.6 Database Semantics Conference on Interoperable Database Systems (DS-5)
Semantic and schematic similarities between database objects: a context-based approach
The VLDB Journal — The International Journal on Very Large Data Bases
Automatic conflict resolution to integrate relational schema
Automatic conflict resolution to integrate relational schema
IEEE Transactions on Knowledge and Data Engineering
Ontologies and semantics for seamless connectivity
ACM SIGMOD Record
Enterprise information integration: successes, challenges and controversies
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Electronic health record data-as-a-services composition based on query rewriting
Transactions on large-scale data- and knowledge-centered systems IV
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An important task in database integration is to resolve data conflicts, on both schema-level and semantic-level. Especially difficult the latter is. Some existing ontology-based approaches have been criticized for their lack of domain generality and semantic richness. With the aim to overcome these limitations, this paper introduces a systematic approach for detecting and resolving various semantic conflicts in heterogeneous databases, which includes two important parts: a semantic conflict representation model based on our classification framework of semantic conflicts, and a methodology for detecting and resolving semantic conflicts based on this model. The system has been developed, experimental evaluations on which indicate that this approach can resolve much of the semantic conflicts effectively, and keep independent of domains and integration patterns.