View Item 

Use of UML 2.1 to model multi-agent systems based on a goal-driven software engineering ontology

Access Status
Open access
Authors
Wongthongtham, Pornpit
Dillon, Darshan
Dillon, Tharam S.
Chang, Elizabeth
Date
2008
Type
Conference Paper

Metadata
Show full item record
Citation
Wongthongtham, Pornpit and Dillon, Darshan and Dillon, Tharam and Chang, Elizabeth. 2008. Use of UML 2.1 to model multi-agent systems based on a goal-driven software engineering ontology, in Zhuge, H. (ed), Fourth International Conference on Semantics, Knowledge and Grid, Dec 3 2008, pp. 428-432. Beijing, China: Institute of Electrical and Electronics Engineers (IEEE) Computer Society
Source Title
Proceedings of the 4th international conference on semantics, knowledge and grid (SKG 2008)
Source Conference
4th International Conference on Semantics, Knowledge and Grid (SKG 2008)
DOI
ISBN
Faculty
Curtin Business School
School of Information Systems
School
Centre for Extended Enterprises and Business Intelligence
Remarks

Copyright © 2008 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI
Collection
Abstract

In this paper, we present the use of UML 2.1 to model multi-agent systems based on a goal-driven software engineering ontology. The lack of an efficient standardized modeling language is evident. The uses of UML and stereotypes UML to model multi-agent systems have been proposed. However, there are still a number of issues with the existing approaches due to inconsistent semantics of the existing UML diagrams and unintuitive and complext notations. UML 2.1 allows representing more complex scenarios and introducing greater details into the modeling process enabling effective capture and representation of multi-agent actions and interactions. UML 2.1 has not only enabled the introduction of a notation for the Ontology based multi-agent systems, but also effective capture and representation of the dynamic processes associated with these Ontology based multi-agent systems.