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GeoNLU: Bridging the gap between natural language and spatial data infrastructures

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dc.contributor.authorPalanichamy, Naveen
dc.contributor.authorRajagopal, Maheswar
dc.contributor.authorTrojovský, Pavel
dc.date.accessioned2025-12-05T14:04:19Z
dc.date.available2025-12-05T14:04:19Z
dc.date.issued2024
dc.description.abstractIntegrating natural language processing (NLP) techniques with spatial data infrastructures (SDIs) potentially revolutionize the way users interact with geospatial data. This article presents GeoNLU, a comprehensive framework aimed at bridging the gap between natural language and SDIs. GeoNLU aims to enable seamless interaction and querying of geospatial data through natural language, thereby enhancing accessibility and usability for a wide range of users. This article delves into the theoretical foundations, architectural design, key components, and potential applications of GeoNLU, highlighting its significance in improving geospatial data exploration, analysis, and decision-making.eng
dc.formatp. 126-147
dc.identifier.doi10.1016/j.aej.2023.12.027
dc.identifier.issn1110-0168
dc.identifier.obd43880869
dc.identifier.urihttp://hdl.handle.net/20.500.12603/2034
dc.language.isoeng
dc.peerreviewedyes
dc.publicationstatuspostprint
dc.publisherElsevier
dc.relation.ispartofAlexandria Engineering Journal, volume 87, issue: Januaryeng
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1110016823011195?via%3Dihub
dc.rights.accessOpen Access
dc.rights.licenseCC BY
dc.source.urlhttps://www.sciencedirect.com/science/article/pii/S1110016823011195?via%3Dihub
dc.subjectData decisioneng
dc.subjectData explorationeng
dc.subjectGeo-spatial dataeng
dc.subjectGeoNLUeng
dc.subjectLanguage processingeng
dc.subjectLanguage processing techniqueseng
dc.subjectNatural language processingeng
dc.subjectNatural languageseng
dc.subjectSpatial data infrastructureeng
dc.subjectTheoretical foundationseng
dc.titleGeoNLU: Bridging the gap between natural language and spatial data infrastructureseng
dc.typearticle

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