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Ontology-Based Multi-Agent Systems

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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.

Inhaltsverzeichnis

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.

Produktdetails

Erscheinungsdatum
07. Juli 2009
Sprache
englisch
Auflage
2009
Seitenanzahl
274
Dateigröße
8,18 MB
Reihe
Studies in Computational Intelligence
Autor/Autorin
Maja Hadzic, Elizabeth J. Chang, Pornpit Wongthongtham
Kopierschutz
mit Wasserzeichen versehen
Produktart
EBOOK
Dateiformat
PDF
ISBN
9783642019043

Portrait

Maja Hadzic

Dr Maja Hadzic received PhD from Curtin University of Technology in 2006. Her PhD thesis is entitled: "Ontology-based multi-agent systems for human disease studies". She is currently Research Fellow at the Digital Ecosystems and Business Intelligence Institute of the Curtin University of Technology. She has a multi-disciplinary background and her current research interests include ontologies, multi-agent systems, data mining, digital ecosystems and mental health.



Professor Elizabeth Chang is Professor of Information Systems and Software Engineering at the Curtin University of Technology. She is the Director of the Digital Ecosystems and Business Intelligence Institute. Professor Chang has an extensive background, knowledge and skills in academia, commerce and industry.



Dr Pornpit Wongthongtham received PhD from Curtin University of Technology in 2006 and has become an expert in the field of ontology-based multi-agent systems. Over the last 3 years she co-authored numerous papers on ontology-based multi-agent systems for multi-site software engineering. She is currently working as Research Fellow at the Digital Ecosystems and Business Intelligence Institute of the Curtin University of Technology.



Professor Tharam Dillon is an expert in the field of software engineering, data mining XML based systems, ontologies, trust, security and component-oriented access control. Professor Dillon has published five authored books and four co-edited books. He has also published over 600 scientific papers in refereed journals and conferences. Over the last fifteen years, he has been cited, one or more times, in over 1200 publications. This indicates the high impact of his research work.


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