Ontological Mediation for Multi-Agent Systems

A major performance factor when gathering information across a platform like the World Wide Web is the efficiency of the search and retrieval system. The effectiveness of current search and retrieval systems is restricted as they do not use the semantics of the data but only utilize keywords. Using a multi-agent system where agents gather information and organize it, creating ontologies, is a very viable approach to the problem. Major difficulties that arise during collaboration among such information-providing 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.