Using Open Geographic Data to Generate Natural Language Descriptions for Hydrological Sensor Networks

Molina, Martin and Sanchez-Soriano, Javier and Corcho, Oscar (2015). Using Open Geographic Data to Generate Natural Language Descriptions for Hydrological Sensor Networks. "Sensors" (n. 15); pp. 16009-16026. ISSN 1424-8220. https://doi.org/10.3390/s150716009.

Description

Title: Using Open Geographic Data to Generate Natural Language Descriptions for Hydrological Sensor Networks
Author/s:
  • Molina, Martin
  • Sanchez-Soriano, Javier
  • Corcho, Oscar
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 3 July 2015
Subjects:
Freetext Keywords: sensor network; natural language generation; open geographic data
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
UPM's Research Group: Hidroinformática y Gestión del Agua
Creative Commons Licenses: Recognition

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Abstract

Providing descriptions of isolated sensors and sensor networks in natural language, understandable by the general public, is useful to help users find relevant sensors and analyze sensor data. In this paper, we discuss the feasibility of using geographic knowledge from public databases available on the Web (such as OpenStreetMap, Geonames, or DBpedia) to automatically construct such descriptions. We present a general method that uses such information to generate sensor descriptions in natural language. The results of the evaluation of our method in a hydrologic national sensor network showed that this approach is feasible and capable of generating adequate sensor descriptions with a lower development effort compared to other approaches. In the paper we also analyze certain problems that we found in public databases (e.g., heterogeneity, non-standard use of labels, or rigid search methods) and their impact in the generation of sensor descriptions.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTIN200805837/TINVIOMATICAUnspecifiedUnspecified

More information

Item ID: 36421
DC Identifier: http://oa.upm.es/36421/
OAI Identifier: oai:oa.upm.es:36421
DOI: 10.3390/s150716009
Official URL: http://www.mdpi.com/1424-8220/15/7/16009
Deposited by: Javier Sánchez Soriano
Deposited on: 06 Jul 2015 07:58
Last Modified: 31 May 2019 16:00
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