Text2Geo: from textual data to geospatial information

  • Authors:
  • Sabiha Tahrat;Eric Kergosien;Sandra Bringay;Mathieu Roche;Maguelonne Teisseire

  • Affiliations:
  • LIRMM;LIRMM, TETIS;LIRMM, MIAp;LIRMM;Irstea, UMR TETIS

  • Venue:
  • Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
  • Year:
  • 2013

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Abstract

In this paper, we focus on methods for extracting spatial information in text documents. After presenting textual description of space and manual annotation of named entities, mainly location and organization, we present our proposal Text2Geo. It is a hybrid method which combines information extraction approach based on patterns with a supervised classification approach to explore context. We discuss some results obtained on the dataset of Thau lagoon.