MPSWS: a multi-agent personalisation of the semantic web services
by G. Shorbagy; M. Zaki; M. Maree; A. Rafea
International Journal of Web Science (IJWS), Vol. 2, No. 4, 2014

Abstract: On the web, finding a service which is suited to user requirements is essential. In this paper, a multi-agent personalisation of the SWS system, MPSWS, is introduced. In MPSWS, both user information and SWS are interacting to identify user needs. It exploits agent-based systems to support the interaction between users and semantic web services in dynamic configurations. The work achieves the following contributions: 1) proposing a novel system architecture that realises personalisation in the semantic web services; 2) applying an AQ machine learning algorithm to proactively identifying user intentions from past events; 3) providing a BDI-based problem solver that exploits the user's context to determine his intentions; 4) building up OWLS queries for each identified user intention, which are processed by SWS matchmaker, to identifying OWLS services that can semantically match user needs. MPSWS is experimentally tested and its performance at different operational conditions is evaluated.

Online publication date: Wed, 15-Jul-2015

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 Web Science (IJWS):
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