A semantic approach to mapping the Provenance Ontology to Basic Formal Ontology
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View abstract on PubMed
Summary
This summary is machine-generated.This study presents ontology alignments between the Provenance Ontology (PROV-O) and Basic Formal Ontology (BFO) to improve data interoperability. These alignments enhance the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles.
Area Of Science
- Semantic Web Technologies
- Ontology Engineering
- Data Interoperability
Background
- The Provenance Ontology (PROV-O) is a W3C standard for structuring provenance data.
- Basic Formal Ontology (BFO) is an ISO/IEC standard for structuring scientific ontologies.
- Interoperability challenges exist between PROV-O and BFO and their extensions.
Purpose Of The Study
- To develop a methodology for mapping and aligning PROV-O and BFO.
- To enhance semantic and logical interoperability between these foundational ontologies.
- To support FAIR data principles through improved ontology integration.
Main Methods
- A mapping methodology and set of ontology alignments were developed based on semantic and logical criteria.
- Alignments were evaluated for logical consistency using PROV-O instances.
- SPARQL queries were used to identify terms not satisfying alignment criteria.
Main Results
- A robust methodology for aligning PROV-O and BFO was established.
- Ontology alignments were validated for logical consistency and adherence to criteria.
- The work supports the integration of provenance data within broader scientific ontologies.
Conclusions
- The presented ontology alignments significantly enhance interoperability between PROV-O and BFO.
- This integration facilitates the application of FAIR data principles in scientific data management.
- The methodology provides a foundation for aligning other domain ontologies with BFO and PROV-O.
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