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

Farvardin, Mohammad Amin; Kergosien, Eric; Roche, Mathieu; Teisseire, Maguelonne

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

2015

Farvardin, Mohammad Amin | Kergosien, Eric | Roche, Mathieu | Teisseire, Maguelonne

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)

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Bibliographic information

Publisher

SWSA

Language

English

License

http://agritrop.cirad.fr/579649/1/conf_ISWC15.pdfCirad licenseinfo:eu-repo/semantics/openAccesshttps://agritrop.cirad.fr/mention_legale.html

Type

Conference Object; Conference Part; Conference Paper; Conference Part

Source

SWSAISWC 2015 Posters & Demonstrations Track: Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015)

In AGRIS since: 2019-03-15

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http://agritrop.cirad.fr/579649/1/conf_ISWC15.pdf http://agritrop.cirad.fr/579649/ http://ceur-ws.org/Vol-1486/

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

2015

Bibliographic information