An Information Space Using Topic Identification for Retrieved Documents

Authors:
David Escorial
Affiliations:
-
Venue:
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Year:
2001

Citing 3
Cited 0

An investigation of the role of navigation for information retrieval

ASIS '92 Proceedings of the 55th annual meeting on Celebrating change : information management on the move: information management on the move
Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval
A Method of Describing Document Contents through Topic Selection

SPIRE '99 Proceedings of the String Processing and Information Retrieval Symposium & International Workshop on Groupware

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a model of an Information Space (IS) that combines the Vector Space Model (VSM) with conceptual hierarchies for Information Retrieval (IR). This model will allow navigating between both representations helping the user in the retrieval process. The goal is to filter the documents the user is interested based on the theme.