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High Quality Data Models


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General

  • Ontologically Committed

    Ontological
  • Commitment Level

    High
  • Subject

    Foundational
  • Categorical

    Yes

Vertical

  • Parent-arity Type Instance

    Unconstrained
  • Transitivity

    Yes
  • Boundedness Type Instance - Downward

    Bounded
  • Boundedness Type Instance - Fixed Finite Levels

    Not Fixed
  • Boundedness Type Instance - Number of Fixed Levels

    Not applicable
  • Stratification Type Instance

    Unstratified
  • Formal Generation - Whole Part - Fusion

    Yes
  • Formal Generation - Whole Part - Complement

    Yes
  • Formal Generation - Type Instance - Fusion

    Yes
  • Formal Generation - Super Sub Type - Fusion

    Yes
  • Formal Generation - Super Sub Type - Complement

    Yes
  • Relation Class-ness Type Instance

    First-class
  • Relation Class-ness Super Sub Type

    First-class

Horizontal

  • Spacetime

    Unifying
  • Locations

    Unifying
  • Properties

    Unifying
  • Endurants

    Unifying
  • Immaterial

    Unifying

Universal

  • Merelogy

    GEM
  • Interpenetration

    Not allowed
  • Materialism

    Adopted
  • Possibilia

    Possible Worlds
  • Criteria Of Identity

    extensional
  • Time

    Eternalist
  • Indexicals: Here And Now

    Not-supported
  • Higher-arity

    Supported

F.16. HQDM – High Quality Data Models 

F.16.1. Overview 

The High Quality Data Models (HQDM) Framework is a four-dimensional top-level ontology with extensional identity criteria that aims to support large scale data integration. As such it aims to ensure there is consistency among data created using the framework. The HQDM Framework is based on work developing and using ISO 15926 and lessons learnt from BORO, which influenced ISO 19526-2. 

F.16.2. Top-level 

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F.16.3 Key characteristics 

This is a well-documented heavyweight foundational ontology. It is an extensional ontology with a general unifying approach – illustrated in the journey in Figure 30. It draws heavily on ISO 15926-2 – and shares some of its technical background. 

It introduces some novel ideas – such as interpreting possible worlds as branching. 

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F.16.4 Relevant extracts 

Nothing added yet. 

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Return to Appendix : Candidate source top-level ontologies – longlist

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Continue to Appendix G: Prior ontological commitment literature

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