Building natural language responses from natural language questions in the spatio-temporal context. (24th November 2020)

• Record Type: Journal Article
• Authors: Landoulsi, Ghada; Mahmoudi, Khaoula; Faïz, Sami
• Is Part Of: International journal of intelligent information and database systems. Volume 14:Number 1(2021)
• Page Start: 1
• Page End: 25
• Publication Date: 2020-11-24
• Subjects: spatio-temporal data -- geographic databases -- GDBs -- question answering systems -- structured query language -- natural language generation -- NLG; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

With the evolving research in geographic information system (GIS) owing to its ability to support decision makers in different fields, there is a strong need to enabling all users; specialists and non-specialists to profit from this technology. Although, the key impediment to non-specialists is the language to interact with the GIS and especially its embedded geographic database (GDB) which require SQL skills. In this paper we explore a new approach which alleviates nomad GIS users from any formatting effort by only using the natural language as a GDB communication mean. The process is generally two-fold: 1) formatting the natural language user query to be processed by the GDB engine; 2) translating the GDB retrieved answer to a text easily interpreted by all GIS users. The resulting implemented system was integrated to the OpenJump GIS and has been evaluated to give satisfactory results.