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Ontology of language, with applications to demographic data

  • S. Clint Dowland
  • , Barry Smith
  • , Matthew A. Diller
  • , Jobst Landgrebe
  • , William R. Hogan
  • University of Arkansas for Medical Sciences
  • University of Florida
  • SUNY Buffalo

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

Here we present what we believe is a novel account of what languages are, along with an axiomatically rich representation of languages and language-related data that is based on this account. We propose an account of languages as aggregates of dispositions distributed across aggregates of persons, and in doing so we address linguistic competences and the processes that realize them. This paves the way for representing additional types of language-related entities. Like demographic data of other sorts, data about languages may be of use to researchers in a number of areas, including biomedical research. Data on the languages used in clinical encounters are typically included in medical records, and capture an important factor in patient-provider interactions. Like many types of patient and demographic data, data on a person's preferred and primary languages are organized in different ways by different systems. This can be a barrier to data integration. We believe that a robust framework for representing language in general and preferred and primary language in particular - which has been lacking in ontologies thus far - can promote more successful integration of language-related data from disparate data sources.

Original languageEnglish
Pages (from-to)239-262
Number of pages24
JournalApplied Ontology
Volume18
Issue number3
DOIs
StatePublished - Nov 7 2023

Keywords

  • Basic Formal Ontology (BFO)
  • Language
  • linguistic competence
  • preferred language
  • primary language

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