Bridging the Scientific Knowledge Gap and Reproducibility: A Survey of Provenance, Assertion and Evidence Ontologies

The rapid growth of scientific publications and evolving experimental paradigms create significant challenges in staying up-to-date with current advances. Assertions are often unstructured and have limited provenance, which hinders reproducibility. Ontologies and knowledge graphs (KGs) offer structu...

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Veröffentlicht in:Proceedings of the ... International World-Wide Web Conference. International WWW Conference Jg. 2025; H. Companion; S. 924
Hauptverfasser: Chhetri, Tek Raj, Halchenko, Yaroslav O, Jarecka, Dorota, Trivedi, Puja, Ghosh, Satrajit S, Ray, Patrick, Ng, Lydia
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Netherlands 01.04.2025
Schlagworte:
Assertion and Evidence Ontology
Knowledge Discovery and Integration
Ontology Survey
Knowledge Graphs
Provenance
Reproducibility
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Zusammenfassung:The rapid growth of scientific publications and evolving experimental paradigms create significant challenges in staying up-to-date with current advances. Assertions are often unstructured and have limited provenance, which hinders reproducibility. Ontologies and knowledge graphs (KGs) offer structured solutions by capturing assertions, evidence, and provenance to support reproducibility. This paper reviews 23 ontologies - 13 focused on assertions and evidence and 10 on provenance - providing an overview of the current landscape while highlighting key challenges and opportunities for improvement.
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DOI:10.1145/3701716.3715483