CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Information flow: the logic of distributed systems
Information flow: the logic of distributed systems
Local models semantics, or contextual reasoning = locality + compatibility
Artificial Intelligence
The Origins of Ontologies and Communication Conventions in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Ontology mapping: the state of the art
The Knowledge Engineering Review
The Knowledge Engineering Review
Progressive ontology alignment for meaning coordination: an information-theoretic foundation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
ANEMONE: an effective minimal ontology negotiation environment
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
PowerMap: mapping the real semantic web on the fly
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
A survey of schema-based matching approaches
Journal on Data Semantics IV
Institutionalising ontology-based semantic integration
Applied Ontology
I-SSA: Interaction-Situated Semantic Alignment
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Institutionalising ontology-based semantic integration
Applied Ontology
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Ontology matching is currently a key technology to achieve the semantic alignment of ontological entities used by knowledge-based applications, and therefore to enable their interoperability in distributed environments such as multi-agent systems. Most ontology matching mechanisms, however, assume matching prior integration and rely on semantics that has been coded a priori in concept hierarchies or external sources. In this paper, we present a formal model for a semantic alignment procedure that incrementally aligns differing conceptualisations of two or more agents relative to their respective perception of the environment or domain they are acting in. It hence makes the situation in which the alignment occurs explicit in the model. We resort to Channel Theory to carry out the formalisation.