Do Expressive Geographic Queries Lead to Improvement in Retrieval Eff ectiveness?
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]
CABANAC, Guillaume
Systèmes d’Informations Généralisées [IRIT-SIG]
Université Toulouse III - Paul Sabatier [UT3]
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Systèmes d’Informations Généralisées [IRIT-SIG]
Université Toulouse III - Paul Sabatier [UT3]
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]
CABANAC, Guillaume
Systèmes d’Informations Généralisées [IRIT-SIG]
Université Toulouse III - Paul Sabatier [UT3]
Systèmes d’Informations Généralisées [IRIT-SIG]
Université Toulouse III - Paul Sabatier [UT3]
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
AGILE'12: Proceedings of the 15th AGILE International Conference on Geographic Information Science, AGILE'12: Proceedings of the 15th AGILE International Conference on Geographic Information Science, International Conference on Geographic Information Science, 2012-04, Avignon. 2012p. 267-286
English Abstract
In an information retrieval (IR) context, users usually issue queries with few terms and no operators (e.g., and, or, +). However, most of users' information needs involve more expressiveness (e.g., 'Potato famine in ...Read more >
In an information retrieval (IR) context, users usually issue queries with few terms and no operators (e.g., and, or, +). However, most of users' information needs involve more expressiveness (e.g., 'Potato famine in Ireland, but not in Cork'). Our work deals with this category of queries that may be processed by geographic IR (GIR) systems to parse digital libraries according to spatial, temporal and topical criteria. We propose a GIR framework that supports expressive queries and aggregates results of a multi-criteria search. We also conduct experiments to verify that this approach improves the e ectiveness of such search engines (improvement of 27% for topical criteria only, and of 54% for spatial and temporal criteria).Read less <
Origin
Hal imported