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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Vydáno v:Proceedings of the ... International World-Wide Web Conference. International WWW Conference Ročník 2025; číslo Companion; s. 924
Hlavní autoři: Chhetri, Tek Raj, Halchenko, Yaroslav O, Jarecka, Dorota, Trivedi, Puja, Ghosh, Satrajit S, Ray, Patrick, Ng, Lydia
Médium: Journal Article
Jazyk:angličtina
Vydáno: Netherlands 01.04.2025
Témata:
Assertion and Evidence Ontology
Knowledge Discovery and Integration
Ontology Survey
Knowledge Graphs
Provenance
Reproducibility
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Popis
Shrnutí: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