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Toponym resolution leveraging lightweight and open-source large language models and geo-knowledge

Research article (International Journal of Geographical Information Systems, 2024) · cited 29× · AI/ML
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Toponym resolution leveraging lightweight and open-source large language models and geo-knowledge

Summary

Toponym resolution leveraging lightweight and open-source large language models and geo-knowledge is a scholarly article[1].

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  • Toponym resolution leveraging lightweight and open-source large language models and geo-knowledge's instance of is recorded as scholarly article[2].

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Friederike Klan

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Toponym resolution leveraging lightweight and open-source large language models and geo-knowledge. Retrieved May 24, 2026, from https://4ort.xyz/entity/toponym-resolution-leveraging-lightweight-and-open-source-large-language-models-and-geo-knowledge
MLA “Toponym resolution leveraging lightweight and open-source large language models and geo-knowledge.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/toponym-resolution-leveraging-lightweight-and-open-source-large-language-models-and-geo-knowledge.
BibTeX @misc{4ortxyz_toponym-resolution-leveraging-lightweight-and-open-source-large-language-models-and-geo-knowledge_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Toponym resolution leveraging lightweight and open-source large language models and geo-knowledge}}, year = {2026}, url = {https://4ort.xyz/entity/toponym-resolution-leveraging-lightweight-and-open-source-large-language-models-and-geo-knowledge}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Toponym resolution leveraging lightweight and open-source large language models and geo-knowledge — https://4ort.xyz/entity/toponym-resolution-leveraging-lightweight-and-open-source-large-language-models-and-geo-knowledge (retrieved 2026-05-24)

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