Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries
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]
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]
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]
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]
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]
< Réduire
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]
Langue
en
Communication dans un congrès
Ce document a été publié dans
ISGIS'10: Proceedings of the Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science, ISGIS'10: Proceedings of the Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science, Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science, 2010-05-26, Hong-Kong. 2010p. 229-234
Résumé en anglais
Our contribution is dedicated to geographic information contained in unstructured textual documents. The main focus of this article is to propose a general indexing strategy that is dedicated to spatial information, but ...Lire la suite >
Our contribution is dedicated to geographic information contained in unstructured textual documents. The main focus of this article is to propose a general indexing strategy that is dedicated to spatial information, but which could be applied to temporal and thematic information as well. More specifically, we have developed a process flow that indexes the spatial information contained in textual documents. This process flow interprets spatial information and computes corresponding accurate footprints. Our goal is to normalize such heterogeneous grained and scaled spatial information (points, polylines, polygons). This normalization is carried out at the index level by grouping spatial information together within spatial areas and by using statistics to compute frequencies for such areas and weights for the retrieved documents.< Réduire
Mots clés en anglais
Geographic Information Retrieval
Spatial Information
Normalization
Geographic Information Combination
Origine
Importé de halUnités de recherche