Sciweavers

Share
GRID
2004
Springer

A Web based Conversational Case-Based Recommender System for Ontology aided Metadata Discovery

12 years 2 months ago
A Web based Conversational Case-Based Recommender System for Ontology aided Metadata Discovery
Locating resources of interest in a large resourceintensive 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.
Mehmet S. Aktas, Marlon E. Pierce, Geoffrey Fox, D
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where GRID
Authors Mehmet S. Aktas, Marlon E. Pierce, Geoffrey Fox, David B. Leake
Comments (0)
books