2009 | OriginalPaper | Chapter
Significance of Ontologies, Agents and Their Integration
Authors : Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
Published in: Ontology-Based Multi-Agent Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.