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An Extendible Realism-Based Ontology for Kinship

  • SUNY Buffalo

Research output: Contribution to journalConference articlepeer-review

Abstract

Adequately representing kinship relations is crucial for a variety of medical and biomedical applications. Several kinship ontologies have been proposed but none of them have been designed thus far in line with the Basic Formal Ontology. In this paper, we propose a novel kinship ontology that exhibits the following characteristics: (1) it is fully axiomatized in First Order Logic following the rules governing predicate formation as proposed in BFO2020-FOL, (2) it is modularized in 6 separate files written in the Common Logic Interface Format (CLIF) each one of which can be imported based on specific needs, (3) it provides bridging axioms to and from SNOMED CT, and (4) it contains an extra module with axioms which would not be literally true when phrased naively but are crafted in such a way that they highlight the unusual kinship relations they represent and can be used to generate alerts on possible data entry mistakes. We describe design considerations and challenges encountered.

Original languageEnglish
Pages (from-to)25-35
Number of pages11
JournalCEUR Workshop Proceedings
Volume3603
StatePublished - 2023
Event14th International Conference on Biomedical Ontologies, ICBO 2023 - Brasilia, Brazil
Duration: Aug 28 2023Sep 1 2023

Keywords

  • BFO2020
  • Kinship ontology
  • SNOMED CT

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