Emeruem, CKeet, CMDawood, Zubeida CWang, S2023-01-272023-01-272022-08Emeruem, C., Keet, C., Dawood, Z.C. & Wang, S. 2022. BFO Classifier: Aligning domain ontologies to BFO. http://hdl.handle.net/10204/12591 .1613-0073http://hdl.handle.net/10204/12591Foundational ontologies are known to have a steep learning curve, which hampers casual use by domain ontology developers to use them for domain ontology development. Foundational ontology developers have not provided methods or tools to lower the barriers of uptake beyond offering, at best, a computational version. We investigate an approach to bridge this gap through the development of a decision diagram for BFO, which offers the modeller a series of questions with closed answer options in order to step-wise arrive at a suitable entity to align the domain entity to. This diagram was implemented in a tool, the BFO Classifier, that keeps track of the question and answer trace and with the click of a button the alignment axiom can be added to the ontology. It was evaluated with two BFO-aligned ontologies, which showed that in at least half.FulltextenBasic Formal OntologyBFOFoundational ontologyFOOntologiesBFO Classifier: Aligning domain ontologies to BFOConference PresentationEmeruem, C., Keet, C., Dawood, Z. C., & Wang, S. (2022). BFO Classifier: Aligning domain ontologies to BFO. http://hdl.handle.net/10204/12591Emeruem, C, CM Keet, Zubeida C Dawood, and S Wang. "BFO Classifier: Aligning domain ontologies to BFO." <i>CEUR Workshop Proceedings, Jönköping University, Sweden, 15-19 August 2022</i> (2022): http://hdl.handle.net/10204/12591Emeruem C, Keet C, Dawood ZC, Wang S, BFO Classifier: Aligning domain ontologies to BFO; 2022. http://hdl.handle.net/10204/12591 .TY - Conference Presentation AU - Emeruem, C AU - Keet, CM AU - Dawood, Zubeida C AU - Wang, S AB - Foundational ontologies are known to have a steep learning curve, which hampers casual use by domain ontology developers to use them for domain ontology development. Foundational ontology developers have not provided methods or tools to lower the barriers of uptake beyond offering, at best, a computational version. We investigate an approach to bridge this gap through the development of a decision diagram for BFO, which offers the modeller a series of questions with closed answer options in order to step-wise arrive at a suitable entity to align the domain entity to. This diagram was implemented in a tool, the BFO Classifier, that keeps track of the question and answer trace and with the click of a button the alignment axiom can be added to the ontology. It was evaluated with two BFO-aligned ontologies, which showed that in at least half. DA - 2022-08 DB - ResearchSpace DP - CSIR J1 - CEUR Workshop Proceedings, Jönköping University, Sweden, 15-19 August 2022 KW - Basic Formal Ontology KW - BFO KW - Foundational ontology KW - FO KW - Ontologies LK - https://researchspace.csir.co.za PY - 2022 SM - 1613-0073 T1 - BFO Classifier: Aligning domain ontologies to BFO TI - BFO Classifier: Aligning domain ontologies to BFO UR - http://hdl.handle.net/10204/12591 ER -26221