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Natural Language for Querying Geographic Databases

Natural Language for Querying Geographic Databases
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Author(s): Ghada Landoulsi (National Engineering School of Tunis, Tunisia)and Khaoula Mahmoudi (National Engineering School of Tunis, Tunisia)
Copyright: 2021
Pages: 34
Source title: Interdisciplinary Approaches to Spatial Optimization Issues
Source Author(s)/Editor(s): Sami Faiz (University of Tunis El Manar, Tunis, Tunisia)and Soumaya Elhosni (University of Tunis El Manar, Tunis, Tunisia)
DOI: 10.4018/978-1-7998-1954-7.ch009


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The amount of spatio-temporal data is growing as is its potential in improving several fields (such as hazard characterization and human diseases). Meanwhile, several problems have risen and concern specially retrieving, storing, and interpreting spatio-temporal phenomena. In fact, there is a need today to make the exploitation of this flood of information popularized for a wide range of users. Although this is not the case since now, generally managing such data requires specific skills, especially the structured query language (SQL) expertise. To profit a wide range of users from this technology, natural language is to be exploited to bridge the gap between non-expert users and geographic data exploitation. This is the scope of the chapter.

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