Extraction of Geospatial Information from Documents

Sabiha Tahrat 1 Mathieu Roche 2 Maguelonne Teisseire 3
2 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 TATOO - Fouille de données environnementales
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Geographical or spatial information is now included in most of exchanged data. Sometimes, it is directly provided through metadata, but it is very often hidden and it becomes crucial to automatically discover it. Natural Language Processing (NLP) and Data Mining communities have thus merged their efforts in order to extract geospatial information from textual documents, web pages, field data, and so forth. In this way, recent researches take into account the content of documents (e.g. terms) to identify geospatial data or to predict its geographic location.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00723585
Contributor : Mathieu Roche <>
Submitted on : Friday, August 10, 2012 - 11:04:47 PM
Last modification on : Thursday, May 24, 2018 - 3:59:23 PM
Long-term archiving on : Friday, December 16, 2016 - 6:07:05 AM

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Sabiha Tahrat, Mathieu Roche, Maguelonne Teisseire. Extraction of Geospatial Information from Documents. Geographic Information Retrieval Tutorial - Panel discussion. AGILE Worskshop, Avignon, France. pp.2. ⟨lirmm-00723585⟩

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