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Testing prompt engineering methods for knowledge extraction from text

Research article (Semantic Web, 2024) · cited 18× · AI/ML
CreativeWork academia

Facts

6 properties
Instance of
scholarly article[2]
Publication date
September 20, 2024as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
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4ort-mint · openalex:20260923 · version not recorded
Funded by grant
Efficient Explainable Learning on Knowledge Graphsas of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
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4ort-mint · openalex:20260923 · version not recorded
Published in
Semantic Web: Interoperability, Usability, Applicabilityas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
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4ort-mint · openalex:20260923 · version not recorded
Sponsor
European Commissionas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
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4ort-mint · openalex:20260923 · version not recorded
Title
Testing prompt engineering methods for knowledge extraction from textas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W4402678047as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.3233/SW-243719as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 3
Fina Polat, Ilaria Tiddi, Paul Groth
← Author of 3
Fina Polat, Ilaria Tiddi, Paul Groth
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Summary

Testing prompt engineering methods for knowledge extraction from text is a scholarly article[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Testing prompt engineering methods for knowledge extraction from text. Retrieved October 20, 2026, from https://4ort.xyz/entity/testing-prompt-engineering-methods-for-knowledge-extraction-from-text
MLA “Testing prompt engineering methods for knowledge extraction from text.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/testing-prompt-engineering-methods-for-knowledge-extraction-from-text.
BibTeX @misc{4ortxyz_testing-prompt-engineering-methods-for-knowledge-extraction-from-text_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Testing prompt engineering methods for knowledge extraction from text}}, year = {2026}, url = {https://4ort.xyz/entity/testing-prompt-engineering-methods-for-knowledge-extraction-from-text}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Testing prompt engineering methods for knowledge extraction from text — https://4ort.xyz/entity/testing-prompt-engineering-methods-for-knowledge-extraction-from-text (retrieved 2026-10-20)

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