DOAJ Open Access 2024

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

Palanichamy Naveen Rajagopal Maheswar Pavel Trojovský

Abstrak

Integrating 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.

Topik & Kata Kunci

Engineering (General). Civil engineering (General)

Penulis (3)

Palanichamy Naveen

Rajagopal Maheswar

Pavel Trojovský

Format Sitasi

APA MLA BibTeX

Naveen, P., Maheswar, R., Trojovský, P. (2024). GeoNLU: Bridging the gap between natural language and spatial data infrastructures. https://doi.org/10.1016/j.aej.2023.12.027

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1016/j.aej.2023.12.027
Akses: Open Access ✓