Geographical information access for non-structured data

  • Authors:

  • Julien Lesbegueries;Mauro Gaio;Pierre Loustau

  • Affiliations:

  • Université de Pau et des Pays de l'Adour, Pau Université Cedex;Université de Pau et des Pays de l'Adour, Pau Université Cedex;Université de Pau et des Pays de l'Adour, Pau Université Cedex

  • Venue:
  • Proceedings of the 2006 ACM symposium on Applied computing
  • Year:
  • 2006

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Abstract

This paper presents the Virtual Itineraries in Pyrenees (PIV) project. Spatial and temporal unified models are proposed to give a formal representation to geographical information. The aim is to improve the access to local cultural and heritage document collections. The models take into account characteristics of heterogeneous human expression modes: written language and captures of drawings, maps, pictures, etc. Semantic treatments have been built to automatically manage spatial and temporal information from non-structured data. These treatments are added to classical information extraction (IE) approaches. Then, geographical information retrieval processing is based on geographical information systems (GIS) algorithms. These algorithms look for any relations between formal representations of geographic information in documents collections and similar representations in a user query. Finally we propose a prototype implementing such geographic IE and geographic Information Retrieval (IR).