A semantic approach to mapping the Provenance Ontology to Basic Formal Ontology
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Abstract (arXiv)
The Provenance Ontology (PROV-O) is a World Wide Web Consortium (W3C) recommended ontology used to structure data about provenance across a wide variety of domains. Basic Formal Ontology (BFO) is a top-level ontology ISO/IEC standard used to structure a wide variety of ontologies, such as the OBO Foundry ontologies and the Common Core Ontologies (CCO). To enhance interoperability between these two ontologies, their extensions, and data organized by them, a mapping methodology and set of alignments are presented according to specific criteria which prioritize semantic and logical principles. The ontology alignments are evaluated by checking their logical consistency with canonical examples of PROV-O instances and querying terms that do not satisfy the alignment criteria as formalized in SPARQL. A variety of semantic web technologies are used in support of FAIR (Findable, Accessible, Interoperable, Reusable) principles.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 4 of its 47 references that are in the map. First posted on arXiv 2 Aug 2024.
Builds on
4 of 47 references.
References · 4
- 2018SOSA: A Lightweight Ontology for Sensors, Observations, Samples, and Actuatorscited by 27
- 2021A Simple Standard for Sharing Ontological Mappings (SSSOM)cited by 13
- 2023An Open-Source Knowledge Graph Ecosystem for the Life Sciencescited by 11
- 2024The Common Core Ontologiescited by 8
Built on by
Citing papers per year: 2024: 1; 2025: 1; 2026: 2.
4 papers.
- 2026Towards knowledge-based workflows: a semantic approach to atomistic simulations for mechanical and thermodynamic propertiescited by 1
- 2026Ontology-based knowledge graph infrastructure for interoperable atomistic simulation datacited by 1
- 2024A Fourfold Pathogen Reference Ontology Suitecited by 0
- 2025Ontology Enabled Hybrid Modeling and Simulationcited by 0
- 2026Ontology-based knowledge graph infrastructure for interoperable atomistic simulation data31 Mar 2026
- 2026Towards knowledge-based workflows: a semantic approach to atomistic simulations for mechanical and thermodynamic properties1 Feb 2026
- 2025Ontology Enabled Hybrid Modeling and Simulation14 Jun 2025
- 2024A Fourfold Pathogen Reference Ontology Suite31 Dec 2024