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A Methodology for Ontological Mediation in Multi-Agent Systems
Abstract
The effectiveness of current search and retrieval systems is restricted as they do not use the semantics of the data but mainly utilize keywords. Multi-agent systems in which agents gather information and organize it, by creating ontologies, are being utilized to improve the performance and quality of the data gathering and integrating systems. Major difficulties that arise during collaboration among such agents are ambiguity and data misinterpretation. This is due to the diversity of ontology creators, differences in linguistics and ontological overlapping. Users may also knowingly or unknowingly add incorrect information to ontologies. Ontological Mediation tries to address such collaboration issues relating to ambiguous and unfamiliar information arising due to various reasons. We propose a communication based approach for ontological mediation. In the process, we also present a classification model for ontological mediation.
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