From Strings to Semantics: Semi-Automatic Ontology Suggestions for FAIR Energy Data Publication Workflows

In this poster, we propose an autometed ontology term suggestion system based on ontology embedding and semantic similarity, aiming to facilitate FAIR data publication in energy domain

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-08
DOI
https://doi.org/10.5281/zenodo.17853510
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

From Strings to Semantics: Semi-Automatic Ontology Suggestions for FAIR Energy Data Publication Workflows

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

From Strings to Semantics: Semi-Automatic Ontology Suggestions for FAIR Energy Data Publication Workflows

article en

Abstract

In this poster, we propose an autometed ontology term suggestion system based on ontology embedding and semantic similarity, aiming to facilitate FAIR data publication in energy domain

Zenodo (CERN European Organization for Nuclear Research)
Karlsruhe Institute of Technology (DE)
Affordable and clean energy
Openalex Percentile: Top 28%
Research Data Management Practices
DOIOpen Access PDFOpenAlex
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From Strings to Semantics: Semi-Automatic Ontology Suggestions for FAIR Energy Data Publication Workflows · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS