An adaptable search engine for multimodal information retrieval

Authors:
Gilles Hubert;Josiane Mothe
Affiliations:
g1 IRIT, SIG-EVI, Université Paul Sabatier, 118 route de Narbonne, F-31062 Toulouse cedex 9, France;IRIT, SIG-EVI, Université Paul Sabatier, 118 route de Narbonne, F-31062 Toulouse cedex 9, France and Institut Universitaire de Formation des Maîtres, 56 avenue de l'URSS, F-31400 Toulous ...
Venue:
Journal of the American Society for Information Science and Technology
Year:
2009

Citing 0
Cited 3

Measuring effectiveness of geographic IR systems in digital libraries: evaluation framework and case study

ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Accuracy of inter-researcher similarity measures based on topical and social clues

Scientometrics
Fusing different information retrieval systems according to query-topics: a study based on correlation in information retrieval systems and TREC topics

Information Retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

This article describes an information retrieval approach according to the two different search modes that exist: browsing an ontology (via categories) or defining a query in free language (via keywords). Various proposals offer approaches adapted to one of these two modes. We present a proposal leading to a system allowing the integration of both modes using the same search engine. This engine is adapted according to each possible search mode. © 2009 Wiley Periodicals, Inc.