Simplifying OWL

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Simplifying OWL

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International Organisation for Terminology in Anaesthesia. Part of the Anaesthesia Patient Safety Foundation. 2 parallel efforts: ... – PowerPoint PPT presentation

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Title: Simplifying OWL


1
Simplifying OWL
  • Learning lessons from Anaesthesia
  • Nick Drummond

2
Overview
  • IOTA
  • Requirements
  • Challenges
  • Separating language from identity
  • Referencing non-OWL resources
  • Hiding complexity
  • Optionality in OWL
  • Conclusion

3
Guinea Pig - IOTA
  • International Organisation for Terminology in
    Anaesthesia
  • Part of the Anaesthesia Patient Safety Foundation
  • 2 parallel efforts
  • official feed of anaesthesia terms to SNOMED-CT
  • Ontology required for AIMS systems

4
IOTA Tools
  • Had DATAMS browser/editor
  • Simple interface
  • Completely designed for single task
  • But
  • Non standard solution no semantics defined
  • Limited functionality
  • Restricted support
  • Not extensible
  • Only 2 relationships (isa, hasa)

5
Requirements
  • Simple browsing/editing environment
  • Standards for reuse
  • Heavily concerned with language and references to
    external resources (for SNOMED)
  • Simple structure but above and beyond
    sub/superclass (more properties wanted)

6
OWL Subset
  • Subsumption
  • Primitive classes only (so far)
  • Existential / Complement / Cardi restrictions
    (identified through competency questions)
  • No complex fillers only Named Classes
  • No disjoints (yet) likely to be added
    automatically
  • Lots of annotations

7
Challenges
  • Separating language from identity
  • Referencing non-OWL resources
  • Hiding complexity
  • Optionality in OWL

8
Separating language from identity
vin
wine
plonk
  • Resources are referred to by their URI
  • rdfslabel or other properties can be used to
    hold the human-readable name
  • IDs remain constant when renaming
  • Can have multiple names (in different languages)
  • Label string values less restricted (can use
    spaces etc)
  • Can use the same label for multiple resources
    (disadvantage??)

9
Separating ID from language in Protege
  • Meaningless IDs generated automatically
  • conceptName is human readable
  • Protégé supports idea of Browser Slot
  • ie the property that is displayed to the user
  • Extra search support needed

10
Referencing non-OWL resources
  • owlseeAlso
  • Have no URI to point to in SNOMED
  • Create an individual in which to store any SNOMED
    info (such as name etc)
  • Can be refactored later to point to the actual
    concept (if SNOMED ever published in OWL)

11
Hiding Complexity
  • Backward Es and upside-down As best left to the
    logicians
  • Not all expressivity of OWL required
  • eg simple fillers just named classes
  • Currently no defined classes

12
Disguising OWL
  • Protégé forms are customisable
  • forms design for purpose
  • plugin form widgets
  • Use min/max qualified cardinality
  • Display compound restrictions

13
Using qualified cardinality and compound
restrictions
14
Optionality
  • Common requirement
  • 2 use cases
  • Reasoning using ontological knowledge an
    object may or may not have this feature
  • Driving Forms using epistemic knowledge an
    object has this feature. The value may or not
    need to be specified

15
Representing optionality in OWL
  • No inbuilt notion in OWL
  • Because of the open world assumption, possible to
    say anything about anything unless it has been
    explicitly discounted
  • Several patterns, workarounds or botches
    could be subject in themselves
  • We are considering a mixture to help make INTENT
    obvious and simple to manage but allow for
    CORRECT modelling in OWL

16
Options (overview)
  • State nothing (Open World)
  • Using domain of property
  • Use of possibly superproperty
  • Universal/Existential restrs on inverse
  • Reification
  • Tool specific annotations
  • Qualified Min Cardinality 0
  • Define a subclass that has the property

17
Defined Subclass
Person (some people own hats)
PersonThatOwnsAHat complete Person and owns
some Hat
  • Hard to maintain
  • Loses intent conceptually we are saying
    something about members of Person
  • Ontologically correct
  • Can infer membership / check consistency

18
Min Cardi 0 (Qualified)
  • QCRs standard in OWL1.1
  • Means nothing to reasoners, but
  • Captures intent
  • matches our conceptual model and close to other
    representations relational models
  • Simple to add/manage in OWL
  • Easy to use as hints for GUI generation

19
Transform
  • Allow user to maintain intent ie min cardi
  • Provide transform to create subclasses only WHEN
    REQUIRED
  • Throw away when finished ? ?

www
20
Conclusion
  • IOTA have some common problems
  • Many can be overcome even in OWL ?
  • Open environments like Protégé can help create
    simpler interfaces
  • General requirements found for Protégé-OWL
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