Knowledge Elicitation and Semantic Representation for the Heterogeneous Web

  • Authors:
  • H. Lilian Tang

  • Affiliations:
  • Department of Computing, University of Surrey, Guildford, Surrey, GU2 7XH, UK h.tang@surrey.ac.uk

  • Venue:
  • World Wide Web
  • Year:
  • 2002

Quantified Score

Hi-index 0.01

Visualization

Abstract

This paper presents methods and principles for knowledge elicitation and semantics definitions for images and text, respectively, and furthermore introduces a semantic representation scheme that fuses the semantic information extracted from image and text to facilitate intelligent indexing and retrieval for multimedia collection as well as media transformation through their semantic meanings. The method can be deployed for WWW applications such as telemedicine or virtual gallery.