Improving human-agent communication using linguistic and ontological cues
by Jean-Paul A. Barthès
International Journal of Electronic Business (IJEB), Vol. 10, No. 3, 2013

Abstract: Multi-agent systems allow developing large complex distributed applications. Interfaces to such systems are difficult to build using traditional point and click approaches. We propose a two step approach consisting in: first, identifying possible actions corresponding to a request; and second, extracting from the natural language data the necessary parameters to complete the action. Processing the input sentence uses an ontology, linguistic cues and the knowledge-base structure. The approach can be used for navigating in complex websites or for developing information systems, an example of which is given in the paper.

Online publication date: Fri, 10-Apr-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 Electronic Business (IJEB):
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