[Demo] A webtool for analyzing land-use ...
Document type :
Communication dans un congrès avec actes
Title :
[Demo] A webtool for analyzing land-use planning documents
Author(s) :
Farvardin, M.A. [Auteur]
Territoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
Kergosien, Eric [Auteur]
Territoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
Roche, Mathieu [Auteur]
Territoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
Teisseire, Maguelonne [Auteur]
Territoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
Territoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
Kergosien, Eric [Auteur]

Territoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
Roche, Mathieu [Auteur]
Territoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
Teisseire, Maguelonne [Auteur]
Territoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
Conference title :
ISWC 2015
City :
Bethlehem
Country :
Etats-Unis d'Amérique
Start date of the conference :
2015-10-11
Journal title :
proceedings of the ISWC 2015
Publication date :
2015
Keyword(s) :
TELEDETECTION
WEB
LANGAGE ORIENTE OBJET
AMENAGEMENT DU TERRITOIRE
WEB
LANGAGE ORIENTE OBJET
AMENAGEMENT DU TERRITOIRE
English keyword(s) :
LAND USE PLANNING
English abstract : [en]
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 ...
Show more >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 in-formation 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 identication of spatial features and organizations.Show less >
Show more >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 in-formation 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 identication of spatial features and organizations.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Comment :
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-SISO<br/>ISWC 2015, Bethlehem, USA, 11-/10/2015 - 11/10/2015
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