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On t Ologies and Tools

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    Ontologies and tools

    Natalya Fridman Noy

    Stanford Medical InformaticsStanford University

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    Ontologies and tools?

    Managing multiple ontologies

    using several ontologies simulteneously

    creating mapping between ontologies

    ontology merging and alignment

    Managing large ontologies

    scaling up

    presentation

    Connecting to otherrepresentation

    formalisms

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    Outline

    HPKB: ontology-development

    experience

    Today: Tools we have now

    as part of standard Protg

    as plug-ins

    Tomorrow: Tools we toolsneed

    functionality

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    HPKB: High-Performance

    Knowledge Bases

    Mission statement

    enable system developers to rapidly

    construct large knowledge bases

    (100K-1M axiom/rule/frame in several months)

    Building

    FoundationKnowledge

    Acquiring

    DomainKnowledge

    Performing

    Efficient

    Problem

    Solving

    Domain experts

    play

    important role

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    COA Architecture

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    Development and Evaluation

    Cyc upper level

    Knowledge

    Acquisition

    tools

    Problem-

    solving

    methods

    Domain

    ontologies

    Critiquers

    Critiquers

    Critiquers

    Knowledge

    Acquisition

    tools

    Knowledge

    Acquisition

    tools

    Problem-

    solving

    methods

    Problem-

    solving

    methods

    Evaluation

    Evaluation

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    SMI in HPKB

    Protg was used as KA tool

    What we gained:

    new Protg widgets

    instance table

    contains widget

    HPKB tab - summary of large collection ofinstances

    opportunity to test usability of Protg

    (August 24-30)

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    HPKB Tab

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    SMI in HPKB

    Ontology alignment

    Loom to Protg

    Manual alignment and merging in Protg

    Protg to Cyc

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    Outline

    HPKB: ontology development

    experience

    What we have now

    as part of standard Protg

    as plug-ins

    What is needed

    functionality

    tools

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    Ontology-management tools

    in Protege

    Ontology-inclusion mechanism

    include other Protg ontologies

    somewhat transparent

    Metrics

    collect information on the current ontology

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    Included ontologies - features

    Include multiple ontologies

    Included ontologies identified by color

    Included ontologies cannot be edited

    Current ontology can use all the

    concepts from the included ontology

    The Protg knowledge model ontology

    is included in this way

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    Included ontologies

    need to know

    Included projects should be in the same

    directory

    Name space conflicts are not resolved

    Project name is part of instance name

    Users need to fix class-name and slot-

    name conflicts

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    Metrics

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    Outline

    HPKB: ontology development

    experience

    What we have now

    as part of standard Protg

    as plug-ins

    What is needed

    functionality

    tools

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    Ontology-management

    plug-ins

    Protg-to-Cyc tab

    SMART: ontology merging and

    alignment

    ???

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    Bridging the Semantic Gap

    Cyc and Protg adopt different

    knowledge models

    Protg uses OKBC with some extensions

    (essentially frame-based)

    Cyc uses CycL (essentially rule-based)

    Our solution has been to define anOKBC Microtheory within Cyc

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    1. Define a Microtheory (MT)

    of OKBC predicatesOKB

    C Default Mt : OKBCMt .

    constant: OKBCDomain.

    isa : BinaryPredicate.

    arg1Isa : BinaryPredicate .arg2Isa : Collection .

    comment : "(OKBCDomain PRED COL) means that COL is one of the possible

    domains for PRED. A predicate can have several domains. The first

    argument to a predicate has to be an instance of one such domain. Note

    that this is different from arg1Isa: If there are several assertions

    (arg1Isa PRED COL1) ... (arg1Isa PRED COLN), then the first argument to

    PRED has to be an instance of all of them: COL1, ... COLN".

    F:

    (implies (?PRED ?INS1 ?INS2)

    (thereExists ?COL

    (and (OKBCDomain ?PRED ?COL)

    (isa ?INS1 ?COL)))).

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    2. Create a Domain-Specific MT

    as an Extension to the OKBC MT

    COA

    genlsMT

    (fi-assert '(#$isa #$artillery-type #$BinaryPredicate) #$ConstraintsMt)

    (fi-assert '(#$isa #$frontage-size-lower #$BinaryPredicate) #$ConstraintsMt)

    (fi-assert '(#$isa #$readiness #$BinaryPredicate) #$ConstraintsMt)

    (fi-assert '(#$isa #$formation-flexibility #$BinaryPredicate) #$ConstraintsMt)

    (fi-assert '(#$isa #$task #$BinaryPredicate) #$ConstraintsMt)

    (fi-assert '(#$isa #$description #$BinaryPredicate) #$ConstraintsMt)

    (fi-assert '(#$isa #$checked-resource #$BinaryPredicate) #$ConstraintsMt)

    (fi-assert '(#$OKBCDomain #$day-or-night #$Unit-Rate-Of-Movement-Check)

    #$ConstraintsMt)

    (fi-assert '(#$OKBCRange #$day-or-night #$Thing) #$ConstraintsMt)

    (fi-assert '(#$arg2Format #$day-or-night #$SetTheFormat) #$ConstraintsMt)(fi-assert '(#$OKBCDomain #$desired-position

    #$Artillery-Unit-Firing-Position-Check) #$ConstraintsMt)

    (fi-assert '(#$OKBCRange #$desired-position #$Thing) #$ConstraintsMt)

    (fi-assert '(#$arg2Format #$desired-position #$SetTheFormat) #$ConstraintsMt)

    (fi-assert '(#$OKBCDomain #$echelon #$Deployment) #$ConstraintsMt)

    (fi-assert '(#$OKBCRange #$echelon #$Thing) #$ConstraintsMt)

    .

    OKB

    C

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    3. Cycs Theorem Prover Draws

    Appropriate Inferences

    Results

    (#$implies (#$and (isa ?CONSTR

    Unit-Combat-Power-Check)(unit-specialty-type ?CONSTR ?COL)

    (isa ?UNIT ?COL)

    (echelon-type ?CONSTR ?ECH)

    (echelonOfUnit ?UNIT ?ECH)

    (combat-power ?CONSTR ?N))(combatPowerOfUnit ?UNIT ?N))

    COA

    genls

    MT

    OKB

    C

    genlsMT

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    SMART: Ontology Merging

    and Aligment

    What is needed

    Help and guidance in the process

    Specialized tools for ontology merging

    and alignment

    What is not needed (not yet feasible)

    Fully automatic merging and alignment

    tool

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    Mapping, Merging, Alignment

    car

    vehicle

    car

    vehicle

    vehiclecar

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    Approaches to Ontology

    Merging and Alignment

    Conflict resolution after merging

    + direct results

    can be overwhelming hard to repeat

    Morphing before merging

    + process can be repeated

    no direct results

    Direct manipulation tools

    + can manipulate the result directly

    harder to repeat, but still possible

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    SMART Approach to Merging

    and Alignment

    Define a set of ontology merging and

    alignment operations

    Develop an algorithm for ontology

    merging and alignment Perform some operations automatically

    Guide the user to other operations

    Design and implement specialized tool

    for ontology merging and alignment

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    Setup:load files, set preferences, ...

    Execute operation:perform automatic updates,detect conflicts,

    create suggestions

    Select operation:choose from suggestion list,

    create a new operation, .

    Initial suggestions:identical names, synonyms,superclasses for top-level classes in alignment

    SMART Algorithm

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    Example: merge classes

    Automatic updates: Creating the new frame

    Updating of references

    Merging of attached slots

    with identical names

    Conflicts: Duplicate frame names

    Merging of attached slots

    with identical names but

    different facets

    Class Cityname:String

    population:Integer

    area:Float

    Class Townname:String

    populace:Integer

    area:Area

    Class Location Class Geographic-Location

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    Example: merge classes (contd)

    Suggestions:

    Increase priority for current

    suggestions with referenced

    frames

    Suggestions:

    Increase priority for merging

    operations that involve

    frames in the same role,

    such as superclasses,

    subclasses, facet values

    Class Cityname:String

    population:Integer

    area:Float

    Class Townname:String

    populace:Integer

    area:Area

    Class Location Class Geographic-Location

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    Suggestions (contd)

    Suggestions based on structural indications:

    remove superclasses

    remove subclasses

    Class Customer

    Class Travel agent

    Class Individual

    Class Driver

    Class Driver

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    Source ontology: car rental

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    Source ontology:

    airline reservations

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    Explanations

    Suggestions

    Current

    conflicts

    Possible

    solution

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    Features of SMART

    Feedback to the user

    explanations

    solutions for conflicts

    Maintaining focus

    re-ordering of suggestions

    creating temporary frames to defer conflict

    resolution Tracking relations

    preserving reference relations

    preserving mapping information

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    Future directions

    Extensions to the model

    More extensive treatment offacets

    Extensions to non-OKBC frameworks

    Incorporation ofaxioms

    Formal evaluation

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    Outline

    HPKB: ontology development

    experience

    What we have now

    as part of standard Protg

    as plug-ins

    What is needed

    functionality

    tools

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    Wish-list: multiple ontologies

    Managing multiple ontologies

    opening multiple ontologies in one window

    with equal status (unlike inclusion)

    copying and moving frames between

    ontologies

    what should be copied? what to do with name conflicts?

    Should we even bother?

    information overload

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    Wish-list: import and export

    Import from and export to other

    knowledge representation systems

    general OKBC back end

    Cyc to Protege

    PowerLoom and back

    Other KR formalisms

    Wi h li t

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    Wish-list:

    creating ontology mapping

    Mapping and alignment is not

    always possible, because:

    Cannot change sources

    Want to keep sources separate

    Cannot agree on a single

    terminology

    Similar problem: multiple views

    vehiclecar

    Wi h li t

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    Wish-list:

    large-scale ontologies

    Managing large ontologies

    scaling up to huge knowledge sources

    different user interface

    summary

    overview


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