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Computer ontology languages, like OWL, use properties such as owl:sameAs to represent identity. This study analyzes how practitioners adapt these formal representations over time, influencing knowledge modeling practices.

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Area of Science:

  • Computer Science
  • Knowledge Representation
  • Ontology Engineering

Background:

  • Ontology languages are crucial for machine-readable knowledge representation.
  • The owl:sameAs property formalizes identity and sameness in online databases.
  • Real-world application often deviates from initial specifications.

Purpose of the Study:

  • To perform a cultural analysis of the owl:sameAs property in computer ontology languages.
  • To examine the 're-formalizing practices' of practitioners adapting ontology specifications.
  • To understand how social dynamics shape the evolution of formal knowledge representations.

Main Methods:

  • Cultural analysis of the owl:sameAs property.
  • Examination of community practices in revisiting ontology specifications.
  • Analysis of social activities in confronting mutable formal representations.

Main Results:

  • Re-formalizing practices can either stabilize logical properties or introduce fluidity in knowledge modeling.
  • Practitioners' actions can decenter the original authors of ontology languages.
  • Social understandings influence the enactment and iteration of property meaning and use over time.

Conclusions:

  • Ontology languages shape representational possibilities.
  • The meaning and application of ontology properties evolve through social interaction and practice.
  • Understanding these dynamics is key to effective knowledge modeling and dissemination.