A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
The Unified Modeling Language reference manual
The Unified Modeling Language reference manual
Structured Objects: Modeling and Reasoning
DOOD '95 Proceedings of the Fourth International Conference on Deductive and Object-Oriented Databases
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Logical foundations of peer-to-peer data integration
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Schema mappings, data exchange, and metadata management
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Reasoning on UML class diagrams
Artificial Intelligence
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Aspects of distributed and modular ontology reasoning
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
On relating heterogeneous elements from different ontologies
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
A framework for modular ERDF ontologies
Annals of Mathematics and Artificial Intelligence
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State of the art formalisms for distributed ontology integration provide ways to express semantic relations between homogeneous components of different ontologies; namely, they allow to map concepts into concepts, individuals into individuals, and properties into properties. However, the extensive usage of multiple distributed ontologies requires the capability for expressing different forms of mappings, which extend the semantic relations among homogeneous components studied so far. In recent papers extensions of the Distributed Description Logic (DDL) have been proposed to represent mappings between heterogeneous elements; i.e. mappings connecting concepts and relations. In this paper we investigate the computational properties of reasoning with mappings between homogeneous as well as heterogeneous elements in distributed ontologies, and an effective decision procedure for reasoning with multiple ontologies bridged with both forms of mappings.