Towards a service requirements modelling ontology based on agent knowledge and intentions
by Lin Liu, Qiang Liu, Chi-Hung Chi, Zhi Jin, Eric Yu
International Journal of Agent-Oriented Software Engineering (IJAOSE), Vol. 2, No. 3, 2008

Abstract: In this paper, we propose a formalism for service requirements and capability modelling. It adopts concepts from the agent-oriented requirements modelling framework i*, which can be used as a means of studying the requirements and architecture for distributed agent systems. We argue that a social modelling framework such as i*, extended with the necessary service-related concepts and formal reasoning mechanisms, offers a better understanding of the social/organisational relationship in an open services world. By explicitly representing the underlying assumptions and the essential factors of services, a semiformal requirements model in i* can automatically evolve and be refined into a service requirements and capability reasoning framework. Eventually, it will assist intelligent agents with certain knowledge and intentions to make intelligent, rational decisions during service discovery, publication, selection and binding within an open services community.

Online publication date: Fri, 11-Jul-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Agent-Oriented Software Engineering (IJAOSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com