Towards an IE and IR System Dealing with Spatial Information in Digital Libraries - Evaluation Case Study
SALLABERRY, Christian
Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
LESBEGUERIES, Julien
Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
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Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
SALLABERRY, Christian
Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
LESBEGUERIES, Julien
Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
GAIO, Mauro
Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
Linguistic signs, grammar and meaning: computational logic for natural language [SIGNES]
< Reduce
Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour [LIUPPA]
Linguistic signs, grammar and meaning: computational logic for natural language [SIGNES]
Language
en
Communication dans un congrès
This item was published in
ICEIS 2007 - Proceedings of the Ninth International Conference on Enterprise Information Systems, Volume HCI, Funchal, Madeira, Portugal, June 12-16, 2007, 2007-06-12, Madeira. 2007, vol. HCI, p. 190-197
INSTICC Press
English Abstract
This paper deals with spatial Information Extraction (IE) and Retrieval (IR) in Digital Libraries environments. The proposed approach (implemented within PIV(1) prototype) is based on a linguistic and semantic analysis of ...Read more >
This paper deals with spatial Information Extraction (IE) and Retrieval (IR) in Digital Libraries environments. The proposed approach (implemented within PIV(1) prototype) is based on a linguistic and semantic analysis of digital corpora and free text queries. First, we present requirements and a methodology of semantic annotation for automatic indexing and geo-referencing of text documents. Then we report on a case study where the spatial-based IR process is evaluated and compared to classical (statistical-based) IR approaches using first pure spatial queries and then more general ones dealing with both spatial and thematic scopes. The main result in these first experiments shows that combining a spatial approach with a classical (statistical-based) IR one improves in a significant way retrieval accuracy, namely in the case of general queries.Read less <
Origin
Hal imported