A procedure for mediation of queries to sources in disparate contexts
ILPS '97 Proceedings of the 1997 international symposium on Logic programming
Context interchange: new features and formalisms for the intelligent integration of information
ACM Transactions on Information Systems (TOIS)
Predicting how ontologies for the semantic web will evolve
Communications of the ACM - Ontology: different ways of representing the same concept
A Metadata Approach to Resolving Semantic Conflicts
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Information integration using contextual knowledge and ontology merging
Information integration using contextual knowledge and ontology merging
The rule markup language: RDF-XML data model, XML schema hierarchy, and XSL transformations
INAP'01 Proceedings of the Applications of prolog 14th international conference on Web knowledge management and decision support
Contextual alignment of ontologies in the eCOIN semantic interoperability framework
Information Technology and Management
A Categorial Context with Default Reasoning Approach to Heterogeneous Ontology Integration
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Scalable interoperability through the use of COIN lightweight ontology
ODBIS'05/06 Proceedings of the First and Second VLDB conference on Ontologies-based databases and information systems
Representation and reasoning about changing semantics in heterogeneous data sources
SWDB'04 Proceedings of the Second international conference on Semantic Web and Databases
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The COntext INterchange (COIN) strategy is an approach to solving the problem of interoperability of semantically heterogeneous data sources through context mediation. COIN has used its own notation and syntax for representing ontologies. More recently, the OWL Web Ontology Language is becoming established as the W3C recommended ontology language. We propose the use of the COIN strategy to solve context disparity and ontology interoperability problems in the emerging Semantic Web – both at the ontology level and at the data level. In conjunction with this, we propose a version of the COIN ontology model that uses OWL and the emerging rules interchange language, RuleML.