Reinforced Multilingual Geospatial Query Extraction Using Naive Bayes and Fuzzy Matching

The paper introduces a method for automatic canonicalization of geospatial entities from an unstructured language input given by the user. The traditional and old method of Geospatial canonical search is outdated and has loopholes for the handling of the multilingual input and most importantly the a...

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Bibliographische Detailangaben

Veröffentlicht in:	2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST) S. 1 - 5
Hauptverfasser:	Ghosh, Abhirup, Singh, Mukhtiar, Mishra, Abhishek, Prasad, Arav Kumar, Kaur, Simarpreet
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 25.10.2024
Schlagworte:	Accuracy Bayes methods canonical names Data models Fuzzy Matching Algorithm Geospatial analysis Geospatial Query System Industrial electronics Lakes Multilingual Named entity recognition Named Entity Recognition (NER) etc Oceans Web application
Online-Zugang:	Volltext
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