Introduction
In this chapter, we will discuss some advantages of ontology- and agent-based systems. Ontologies provide machine readable and understandable domain knowledge and play an important role in knowledge representation, sharing and management, data semantics, intelligent information retrieval, mediation, natural language applications, and the like. Two important characteristics of agents are their autonomous and collaborative behaviour and, as such, agent-based systems are used to support distributed computing, dynamic information retrieval, automated service discovery, computational intelligence etc. We also describe the advantages of the integrated approach i.e. ontology-based multi-agent systems. Ontology- and agent-based computing are two different but complementary technologies; ontologies give intelligence to the system while the agents provide the system dynamics.
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Hadzic, M., Wongthongtham, P., Dillon, T., Chang, E. (2009). Significance of Ontologies, Agents and Their Integration. In: Ontology-Based Multi-Agent Systems. Studies in Computational Intelligence, vol 219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01904-3_6
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DOI: https://doi.org/10.1007/978-3-642-01904-3_6
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