TY  - BOOK
AU  - Hadzic,Maja
AU  - Wongthongtham,Pornpit
AU  - Dillon,Tharam
AU  - Chang,Elizabeth
ED  - SpringerLink (Online service)
TI  - Ontology-Based Multi-Agent Systems
T2  - Studies in Computational Intelligence,
SN  - 9783642019043
AV  - TA329-348 
U1  - 519 23
PY  - 2009///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Artificial intelligence
KW  - Engineering mathematics
KW  - Appl.Mathematics/Computational Methods of Engineering
KW  - Artificial Intelligence (incl. Robotics)
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-01904-3
ER  -