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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Bibliographic Details
Published in:Proceedings of the ... International World-Wide Web Conference. International WWW Conference Vol. 2025; no. Companion; p. 924
Main Authors: Chhetri, Tek Raj, Halchenko, Yaroslav O, Jarecka, Dorota, Trivedi, Puja, Ghosh, Satrajit S, Ray, Patrick, Ng, Lydia
Format: Journal Article
Language:English
Published: Netherlands 01.04.2025
Subjects:
Assertion and Evidence Ontology
Knowledge Discovery and Integration
Ontology Survey
Knowledge Graphs
Provenance
Reproducibility
Online Access:Get more information
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Summary: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