Article

Towards AI-assisted metadata generation for improved description of geospatial data

2026-08-06

Abstract excerpt

Metadata are fundamental components of spatial data infrastructures, enabling the discovery, evaluation, and reuse of datasets. Their creation and maintenance, typically performed manually, can be costly, time-consuming, and prone to inconsistencies. This work investigates the feasibility of using Generative AI (GenAI) to assist human operators working for data producers in creating structured dataset descriptions...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 29ee45dd-8014-5560-8dd8-746e3fc2f5c6
DOI: 10.12688/openreseurope.24273.1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Towards AI-assisted metadata generation for improved description of geospatial dataDOI 10.12688/openreseurope.24273.1Read

Comprehensive Review of AI Hallucinations: Impacts and Mitigation Strategies for Financial and Business ApplicationsSemantic proximity Read

Operationalizing Generative Spatial Intelligence: A Conversational GeoAI Framework for Flood Risk CommunicationSemantic proximity Read

Can Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) Generate New Knowledge for Urban Studies?Semantic proximity Read

Generative AI-Enhanced Digital Twins for Predictive Ecosystem Management and ConservationSemantic proximity Read

Generative text-to-image diffusion for automated map production based on geosocial media dataSemantic proximity Read

LLM-assisted screening and extraction for systematic reviews: workload reduction and refusal-driven missingness in a land-use evidence synthesisSemantic proximity Read

Generative AI for Culturally Responsive Assessment in Science: A Conceptual FrameworkSemantic proximity Read

Crafting a Museum Guide Using GPT4Semantic proximity Read

Automatic Profiling and Natural Language Retrieval of Geospatial Vector Data with Sub-10B LLMs: A GeoChatbot Approach to Spatial AnalysisSemantic proximity Read

Toward Responsible AI in High-Stakes Domains: A Dataset for Building Static Analysis with LLMs in Structural EngineeringSemantic proximity Read

AI-Driven Science Communication: Leveraging LLMs and Knowledge Graphs for Seamless Knowledge ExchangeSemantic proximity Read

Prompting large language models for quality ecological statisticsSemantic proximity Read