Agritrop
Home

[Demo] A webtool for analyzing land-use planning documents

Farvardin Mohammad Amin, Kergosien Eric, Roche Mathieu, Teisseire Maguelonne. 2015. [Demo] A webtool for analyzing land-use planning documents. In : ISWC 2015 Posters & Demonstrations Track: Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015). Villata Serena (ed.), Pan Jeff Z. (ed.), Dragoni Mauro (ed.). Bethlehem : SWSA-Lehigh University, pp. 1-4. (CEUR Workshop Proceedings, 1486) International Semantic Web Conference (ISWC). 14, Bethlehem, États-Unis, 11 October 2015/15 October 2015.

Paper with proceedings
[img]
Preview
Published version - Anglais
Use under authorization by the author or CIRAD.
conf_ISWC15.pdf

Télécharger (540kB) | Preview

Url - éditeur : http://ceur-ws.org/Vol-1486

Abstract : In previous work, different methods have been proposed in order to semi-automatically mine geospatial information and opinions in documents [3]. In this paper, we present the Web application, SentiAnnotator, based on NLP methods to extract and visualize geospatial information with the associated entities. The evaluation of our application shows good results on a French corpus, i.e. F-measure of 0.74 and 0.75 respectively for the identification of spatial features and organizations. (Résumé d'auteur)

Mots-clés libres : Land use planning, Web application, Geospatial features

Classification Agris : C30 - Documentation and information
U30 - Research methods

Auteurs et affiliations

  • Farvardin Mohammad Amin, Université de Lille (FRA)
  • Kergosien Eric, Université de Lille (FRA)
  • Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568
  • Teisseire Maguelonne, LIRMM (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/579649/)

View Item (staff only) View Item (staff only)

[ Page générée et mise en cache le 2020-05-29 ]