By Topic

A Web based conversational case-based recommender system for ontology aided metadata discovery

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Aktas, M.S. ; Community Grids Labs, Indiana Univ., Bloomington, IN, USA ; Pierce, M. ; Fox, G.C. ; Leake, D.

Locating resources of interest in a large resource-intensive environment is a challenging problem. In this paper we present research on addressing this problem through the development of a recommender system to aid in metadata discovery. Our recommender approach uses conversational case-based reasoning (CCBR), with semantic Web markup languages providing a standard form for case representation. We present our initial efforts in designing and developing ontologies for an Earthquake Simulation Grid, to use these to guide case retrieval, discuss how these are exploited in a prototype application, and identify future steps for this approach.

Published in:

Grid Computing, 2004. Proceedings. Fifth IEEE/ACM International Workshop on

Date of Conference:

8 Nov. 2004