Knowledge compilation and theory approximation
Journal of the ACM (JACM)
Capabilities-based query rewriting in mediator systems
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
The Origins of Ontologies and Communication Conventions in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Consensus Ontologies: Reconciling the Semantics of Web Pages and Agents
IEEE Internet Computing
Boolean Query Mapping Across Heterogeneous Information Sources
IEEE Transactions on Knowledge and Data Engineering
IEEE Intelligent Systems
OIL: An Ontology Infrastructure for the Semantic Web
IEEE Intelligent Systems
IEEE Internet Computing
Approximate query mapping: Accounting for translation closeness
The VLDB Journal — The International Journal on Very Large Data Bases
Ontology-Based Information in Dynamic Environments
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
Multi-agent Coordination Based on Semantic Approximation
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Semantic based approximate query across multiple ontologies
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Approximate semantic query based on multi-agent systems
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
A combination framework for semantic based query across multiple ontologies
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
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In has been argued that ontologies play a key role in multi-agent communication because they provide and define a shared vocabulary to be used in the course of communication. In real-life scenarios, however, the situation where two agents completely share a vocabulary is rather an exception. More often, each agent uses its own vocabulary specified in a private ontology that is not known by other agents. In this paper we propose a solution to this problem for the situation, where agents share at least parts of their vocabulary. We argue that the assumption of a partially shared vocabulary is valid and sketch an approach for re-formulating terms from the private part of an agent's ontology into a shared part thus enabling other agents to understand them. We further describe how the approach can be implemented using existing technology and proof the correctness of the re-formulation with respect to the semantics of the ontology-language DAML+OIL.