An ontology-based interface for improving information exploration

Authors:
Wilson Wong;Wei Liu;Mohammed Bennamoun
Affiliations:
University of Western Australia, Perth, Australia;University of Western Australia, Perth, Australia;University of Western Australia, Perth, Australia
Venue:
Proceedings of the first international workshop on Intelligent visual interfaces for text analysis
Year:
2010

Citing 5
Cited 0

Why reading was slower from CRT displays than from paper

CHI '87 Proceedings of the SIGCHI/GI Conference on Human Factors in Computing Systems and Graphics Interface
Scatter/Gather: a cluster-based approach to browsing large document collections

SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Don't Make Me Think!: A Common Sense Approach to Web Usability

Don't Make Me Think!: A Common Sense Approach to Web Usability
Which semantic web?

Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
ScentIndex and ScentHighlights: productive reading techniques for conceptually reorganizing subject indexes and highlighting passages

Information Visualization

Quantified Score

Hi-index	0.00

Visualization

Abstract

The explosive growth of the Web necessitates the use of approaches such as search engines, social indexing and visualisation systems to assist in exploring online information. Current systems based on keyword search and sequential listing are becoming inadequate due to their inability to make sense of unstructured information. This calls for more work into the automatic structuring of text to produce accurate and machine-friendly metadata. This paper presents a working ontology-based interface for exploring large amounts of news articles across different domains based on the seamless and automatic discovery of document abstractions.