Ontology-Based Multi-Agent Systems
Hadzic, Maja.
Ontology-Based Multi-Agent Systems [electronic resource] / by Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang. - XIV, 274 p. online resource. - Studies in Computational Intelligence, 219 1860-949X ; . - Studies in Computational Intelligence, 219 .
Current Issues and the Need for Ontologies and Agents -- to Multi-Agent Systems -- to Ontology -- Design Approaches for Multi-Agent-Based Systems -- Ontology Design Approaches -- Significance of Ontologies, Agents and Their Integration -- Design Methodology for Integrated Systems - Part I (Ontology Design) -- Design Methodology for Integrated Systems - Part II (Multi-Agent System Design) -- Notations for the Integrated Ontology and Multi-Agent System Design -- Architecture of the Integrated Ontology and Multi-Agent System -- Case Study I: Ontology-Based Multi-Agent System for Human Disease Studies -- CASE STUDY II: Ontology-Based Multi-Agent System for Software Engineering Studies -- Potential Applications of Ontology-Based Multi-Agent Systems.
The Semantic web has given a great deal of impetus to the development of ontologies and multi-agent systems. Several books have appeared which discuss the development of ontologies or of multi-agent systems separately on their own. The growing interaction between agnets and ontologies has highlighted the need for integrated development of these. This book is unique in being the first to provide an integrated treatment of the modeling, design and implementation of such combined ontology/multi-agent systems. It provides clear exposition of this integrated modeling and design methodology. It further illustrates this with two detailed case studies in (a) the biomedical area and (b) the software engineering area. The book is, therefore, of interest to researchers, graduate students and practitioners in the semantic web and web science area.
9783642019043
10.1007/978-3-642-01904-3 doi
Engineering.
Artificial intelligence.
Engineering mathematics.
Engineering.
Appl.Mathematics/Computational Methods of Engineering.
Artificial Intelligence (incl. Robotics).
TA329-348 TA640-643
519
Ontology-Based Multi-Agent Systems [electronic resource] / by Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang. - XIV, 274 p. online resource. - Studies in Computational Intelligence, 219 1860-949X ; . - Studies in Computational Intelligence, 219 .
Current Issues and the Need for Ontologies and Agents -- to Multi-Agent Systems -- to Ontology -- Design Approaches for Multi-Agent-Based Systems -- Ontology Design Approaches -- Significance of Ontologies, Agents and Their Integration -- Design Methodology for Integrated Systems - Part I (Ontology Design) -- Design Methodology for Integrated Systems - Part II (Multi-Agent System Design) -- Notations for the Integrated Ontology and Multi-Agent System Design -- Architecture of the Integrated Ontology and Multi-Agent System -- Case Study I: Ontology-Based Multi-Agent System for Human Disease Studies -- CASE STUDY II: Ontology-Based Multi-Agent System for Software Engineering Studies -- Potential Applications of Ontology-Based Multi-Agent Systems.
The Semantic web has given a great deal of impetus to the development of ontologies and multi-agent systems. Several books have appeared which discuss the development of ontologies or of multi-agent systems separately on their own. The growing interaction between agnets and ontologies has highlighted the need for integrated development of these. This book is unique in being the first to provide an integrated treatment of the modeling, design and implementation of such combined ontology/multi-agent systems. It provides clear exposition of this integrated modeling and design methodology. It further illustrates this with two detailed case studies in (a) the biomedical area and (b) the software engineering area. The book is, therefore, of interest to researchers, graduate students and practitioners in the semantic web and web science area.
9783642019043
10.1007/978-3-642-01904-3 doi
Engineering.
Artificial intelligence.
Engineering mathematics.
Engineering.
Appl.Mathematics/Computational Methods of Engineering.
Artificial Intelligence (incl. Robotics).
TA329-348 TA640-643
519