Geographic Named Entity Matching and Evaluation Recommendation Using Multi-Objective Tasks: A Study Integrating a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG)

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datacite.relatedItem.firstPage95
datacite.relatedItem.issue3
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
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datacite.relatedItem.titleIJGI
datacite.relatedItem.volume14
dc.contributor.authorJiajun Zhang
dc.contributor.authorJunjie Fang
dc.contributor.authorChengkun Zhang
dc.contributor.authorWei Zhang
dc.contributor.authorHuanbing Ren
dc.contributor.authorLiuchang Xu
dc.date.accessioned2025-05-14T17:07:27Z
dc.date.available2025-05-14T17:07:27Z
dc.date.issued2025
dc.identifier.doihttps://doi.org/10.3390/ijgi14030095
dc.identifier.otherjz000158-0078
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/33040
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleGeographic Named Entity Matching and Evaluation Recommendation Using Multi-Objective Tasks: A Study Integrating a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG)
dc.typeArticle
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