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Rules for Good Ontology

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Title: Rules for Good Ontology


1
Rules for Good Ontology
  • Rules of thumb
  • represent ideals to be approximated to in
    practice
  • often with trade-offs

2
The ontologists job
  • is not to mimic or replace or usurp science
  • not to discover statistical or functional laws
  • it is to establish the categories involved in
    given domains of reality and the relations
    between them
  • via taxonomies
  • and partonomies
  • and NORMATIVE ISSUES

3
Naturalness
  • A good ontology should include in its basic
    category scheme only those categories which are
    instantiated by entities in reality (it should
    reflect nature at its joints)

4
A good first test
  • the categories in question should be reflected
    in TEE
  • (for Technically Extended English
  • English as extended by the various technical
    vocabularies of medical and scientific
    disciplines)

5
Basic categories
  • reflected by morphologically simple terms
  • dog
  • pain
  • foot
  • blood
  • hunger
  • hot
  • red
  • diabetes

6
No theoretical artifacts
  • A good ontology should not include in its basic
    category scheme
  • artifacts of logical, mathematical or
    philosophical theories (such as transfinite
    cardinals, instantaneous rabbit-slices,
    non-existent golden mountains, functions across
    possible worlds, and the like).

7
A good category scheme
  • should not be a mish-mash of natural and
    philosophical taxa
  • (keep views separate
  • basic views, domain-specific views,
  • theoretical-artefactual views)

8
Problem of Double-Counting
  • in realm of substances
  • foot, arm, nose
  • family, patient population
  • fiat parts and aggregates on the same level of
    granularity should be explicitly marked as
    involving double-counting

9
Cheese-paring principle
  • While a good ontology should use categories
    which reflect only TEE, it should also have the
    resources to do justice to the fact that the
    world can be sliced in many ways, including ways
    not reflected by TEE

10
Example of cheese-paring
substance
action (relational process)
substance
agent (substance plus role)
patient (substance plus role)
linked by mutual dependence
11
Always ask the question
  • when is this proposition true?
  • when does this entity exist?
  • Two sorts of answers
  • at t (for SNAP entities)
  • over time interval t
  • -------------------------------------------
  • looking down on the order of time from the
    outside (for SPAN entities)

12
John lived in Kansas for 25 years
  • when is this proposition true?
  • when does the entity which makes it true exist?

13
Summing within SPAN and summing within SNAP are
both acceptable
  • John plus his role Major John
  • John plus his quality hungry John
  • The rest of the World Cup

14
Confess Double-Counting
  • in realm of substances
  • ear, nose, throat, arm
  • family, clinical trial population
  • fiat parts and aggregates on the same level of
    granularity should be explicitly marked as
    involving double-counting

15
SNAPshot ONTOLOGY
16
Confess Double-Counting
  • in realm of processes
  • beginning, end, first phase
  • series of clinical trials, World Cup
  • fiat parts and aggregates on the same level of
    granularity should be explicitly marked as
    involving double-counting

17
SPAN ONTOLOGY
18
SPAM ONTOLOGY
19
No Crossing Categories
  • If C is a major category then an instance of C is
    always an instance of C whichever VIEW of C we
    take
  • If C is a major category then an instance of C is
    always an instance of C whichever granularity we
    take

20
  • If x instances a category under any determinable,
    then it instances this category under all
    determinables
  • Johns temperature is a SNAP entity
  • The value of Johns temperature is 62 degrees
  • (The value is changing all the time)

21
No others
  • All category labels should be positive

22
Respect Granularity
spatial region
quality
substance
parts of spatial regions are always spatial
regions
23
Respect Granularity
spatial region
quality
substance
parts of substances are always substances
24
Respect Granularity
spatial region
quality
substance
parts of qualities are always qualities
25
Relations crossing the SNAP/SPAN border are not
part-relations
Johns life
26
Rule for Crossing Granularities
  • For x and y instances of basic categories
  • If x is part of y, then x is of the same category
    as y
  • (if x is substantial, then y is substantial)
  • (if x is a quality, then y is a quality)
  • (if x is a process, then y is process)
  • (if x is a spatial region, then y is a spatial
    region)
  • (if x is a spatial boundary, then y is a spatial
    boundary)

27
Rule for Crossing Granularities
  • For x an instances of a basic category, x is
    always an instance of that category in every view
    or from every perspective
  • (if x is substantial, then y is substantial)
  • (if x is a quality, then y is a quality)
  • (if x is a process, then y is process)
  • (if x is a spatial region, then y is a spatial
    region)
  • (if x is a spatial boundary, then y is a spatial
    boundary)

28
How to treat cross-categorial structures?
  • which ontology do they belong to?
  • How to treat higher-order attributions
  • Universals have instances
  • Universal A depends for its instantiation on the
    instantiation of universal B
  • Roughly these are meta-assertions
  • (that they have special truthmakers of their own
    is an illusion of language)

29
Universals have instances
  • is not an extra assertion
  • rather it is something which shows itself via the
    syntax of a good ontological language
  • (cf. Wittgensteins Tractatus)

30
Rules for good syntax in formalizing ontology
  • entities of the same category should be
    represented in the language of ontology by means
    of symbols of the same type
  • some symbols will not represent entities at all
    ()

31
Tools are just tools
  • If specific logical or mathematical or
    conceptual tools are needed, for example for
    semantic purposes,
  • then these should be clearly recognized as tools
    and thus not be seen as having consequences for
    basic ontology.
  • (Possible worlds )

32
Trade off between cheese-paring and sake-mongering
  • We say
  • For Pierres sake , for Heinrichs sake
  • But
  • There are no sakes in this room
  • This is so however we slice the cheese

33
Problems arise for partial ontologies
  • only if they come along with the claim to be
    complete
  • (reductionists are nearly always correct in what
    they hold to exist --
  • but incorrect when they hold that nothing else
    exists)

34
Even reductionists
  • are right as far as they go
  • (even their peculiar maps of reality,
  • as consisting of processes,
  • or of spacetime worms,
  • are transparent to reality)
  • The only problem with such maps is that they are
    not complete

35
Rules Governing Taxonomies
  • Every (coherent, tested) ontology for a given
    domain at a given level of granularity
  • should be representable as a tree in the
    mathematical sense

36
Natural scientific classifications are principled
37
Principled classifications satisfy the
no-diamonds rule
  • A E
  • F
    G
  • B C D

  • H

Good
Bad
38
Counterexample in the realm of artifacts ?
39
Eliminating counter-examples
urban structures
buildings
parking areas
multi-story car-parks
Ontoclean
40
No others
  • A good taxonomy should contain no taxons labeled
  • others

41
Representations
  • A representation is never identical with the
    object which it is a representation of

42
Fallibilism
  • Ontologists are seeking principles that are true
    of reality,
  • but this does not mean that they have special
    powers for discovering the truth.
  • Ontology is, like physics or chemistry, part of
    a piecemeal, on-going process of exploration,
    hypothesis-formation, testing and revision.

43
Fallibilism
  • Ontological claims advanced as true today may
    well be rejected tomorrow in light of further
    discoveries or new and better arguments
  • Ontology is like a small window on reality
    which, in fits and starts, gets bigger and more
    refined as we proceed

44
Adequatism
  • A good ontology should be adequatist
  • its taxonomies and partonomies should comprehend
    the entities in reality at all levels of
    aggregation,
  • from the microphysical to the cosmological,
  • and including also the middle world (the
    mesocosmos) of human-scale entities in between.
  • Adequatists Aristotle, Ingarden, Chisholm

45
Nothing in life is certain
  • except
  • death
  • and taxes
  • Fictionalism is always wrong
  • Either an entity exists, or it does not exist
  • Either an entity type exists, or it does not exist

46
Quine is wrong
  • There is no entity without identity
  • We have no identity criteria for
  • people
  • taxes
  • plans
  • diseases

47
A good category scheme
  • should not be a mish-mash of individuals and
    universals
  • Universals are not extra types of entities
  • Types of entities ARE universals
  • Boxes in category diagrams represent universals
  • The instances are what the boxes contain

48
SNAPshot ONTOLOGY
49
SNAPshot ONTOLOGY
50
Tree structure
  • Higher nodes within the tree represent more
    general universals, lower nodes represent less
    general universals.

51
  • Branches connecting nodes represent the
    relations of inclusion of a lower category in a
    higher
  • man is included in mammal
  • mammal is included in animal
  • and so on.

52
An Ontology (Taxonomy) should be Principled
  • Suppose that in counting off the cars passing
    beneath you on the highway, your checklist
    includes one box labeled red cars and another box
    labeled Chevrolets.
  • The resultant inventory will be unprincipled
  • you will almost certainly be guilty of counting
    some cars twice.
  • Unprincipled the two modes of classification
    belong to two distinct classifications made for
    two distinct purposes

53

Tree structure implies
  • A good ontology should satisfy certain
    well-formedness rules

54
Well-formedness rule
  • Each tree is unified
  • in the sense that it has a single top-most or
    maximal node, representing the maximum category
  • comprehending all the categories represented by
    the nodes lower down the tree

55
Why trees?
  • A taxonomy (ontology) with two maximal nodes
    would be in need of completion by some extra,
    higher-level node representing the union of these
    two maxima.
  • Otherwise it would not be one taxonomy at all,
    but rather two separate taxonomies (e.g. SNAP and
    SPAN)

56
Entity
  • label for the highest-level category of
    ontology.
  • Everything which exists is an entity
  • Alternative top-level terms favored by different
    ontologists thing, object, item,
    element, existent.
  • Use of entity is dangerous (see Frege)

57
Basis in minimal nodes (leaves)
  • Leaves of the tree represent the lowest
    categories (infima species)
  • categories in which no sub-categories are
    included.
  • Has a basis in minimal nodes the categories
    at the lowest level of the tree exhaust the
    maximum category

58
Exhaustiveness
  • The chemical classification of the noble gases is
    exhausted by
  • Helium, Neon, Argon, Krypton, Xenon and Radon.
  • normally very hard to achieve

59
For a taxonomy with a basis in minimal nodes
  • every intermediate node in the tree is
    identifiable as a combination of minimal nodes.

60
More well-formedness principles
  • There should be a finite number of steps between
    the maximal category and each minimal category.
  • There should be the same number of steps between
    the topmost node of the tree and all its
    lowest-level nodes.

61
Well-Formedness
  • The taxonomy as a whole is thereby divided into
    homogeneous levels,
  • each level represents a jointly exhaustive and
    pairwise disjoint partition of the corresponding
    domain of categories on the side of objects in
    the world.

62
Which rules satisfied by BFO?
63
Types of Formal Relation
  • Intracategorial
  • Mereological (part)
  • Topological (connected, temporally precedes)
  • Dependency
  • Intercategorial
  • Inherence (quality of)
  • Location
  • Participation (agent)

64
Relations can also hold across granularities
  • Microbial processes in the human body sustain the
    human body in existence
  • Neurophysiological processes in the brain cause
    and provide the substratum for cognitive processes

65
Trees of universals (species-genus hierarchies)
  • capture the way the world is (realism)
  • they depict the invariant
    structures/patterns/regularities in reality

66
or species-genus hierarchies
  • may capture the way the world should be
  • by depicting the structures/patterns/regulariti
    es in the realm of standards, ideal cases,
    recipes
  • (a hierarchy of medical therapies)

67
Anglocentric (Aristotelian) Realism
  • The general terms of TEE (or many of them),
  • including terms like Coca Cola,
  • correspond to universals (species and genera,
    invariant patterns) in reality

68
Two distinct realms of being
universals particulars
general individual
types tokens
species instances
essence fact
69
species, genera
mammal
frog
instances
70
Common nouns
common nouns proper names
71
types
mammal
frog
tokens
72
Accidents Species and instances
types
tokens
73
There are universals
  • both among substances (man, mammal)
  • and among qualities (hot, red)
  • and among processes (run, movement)
  • There are universals also among spatial regions
    (triangle, room, cockpit)
  • and among spatio-temporal regions (orbit)

74
Substance universals
  • pertain to what a thing is at all times at which
    it exists

cow man rock planet VW Golf
75
Quality universals
  • pertain to how a thing is at some time at which
    it exists

red hot suntanned spinning
Clintophobic Eurosceptic
76
Process universals
  • reflect invariants in the spatiotemporal world
    taken as an atemporal whole
  • football match
  • course of disease
  • exercise of function
  • (course of) therapy

77
Processes and qualities, too, instantiate genera
and species
  • Thus process and quality universals form trees

78
Accidents Species and instances
quality
color
red
scarlet
R232, G54, B24
this individual accident of redness (this
token redness here, now)
79
  • - IS-WE-STATE-OF
  • This is a link which relates a STATE of a
    PROPERTY to the element where this STATE
    inherence.
  • Example TEMPERATURE (is the property)
  •                HIGH TEMPERATURE (is a state of
    the property TEMPERATURE)
  •                HOT WATER   HAS-WE-STATE   HIGH
    TEMPERATURE (But at the level of the instance the
    reverse link can also be applied "high
    temperature 1" IS-WE-STATE-OF "hot water 1)

80
  •   HAS-EXISTENT
  • This link relates a process of existence to the
    entity that exists.
  • Example MEDICAL HISTORY (is considered an
    EXISTANCE IN THE PAST) and HAS-EXISTENT a
    HEALTHCARE PHENOMENOM
  • So "history of diabetes" is (for us) an
    "existence of diabetes in the past" and
    "diabetes" is the entity which existed.

81
  • -         HAS-SAYING
  • This is a link which relates a COMMUNICATIVE
    PROCESS (mental process) to the element which is
    communicated.
  • Ex MENTION OF ABSCESS HAS-SAYING ABSCESS
  •  -        HAS- SENSOR
  • Relates an INTERNAL MENTAL PROCESS ( thinking,
    observation...) to the person/animal who performs
    this action
  • Ex (at instance level) "John recognizes Mary."
    becomes "recognizing process 1" HAS-SENSOR "John
    1"

82
  • -  HAS-PHENOMENON
  • Also for  INTERNAL MENTAL PROCESS, but phenomenon
    is the entity which has been "perceived". (Mary
    in the example above)
  • Ex DETERMINATION OF PROGNOSIS HAS-PHENOMENON
    PROGNOSIS

83
  • -        HAS-SYSTEMIC-MEDIUM
  • Relates a MATERIAL PROCESS to an entity which
    participates is the process in an active and
    passive way at the same time
  • EX ARM INFLAMMATION HAS-SYSTEMIC-MEDIUM ARM or
    CHANGE IN WEIGHT HAS-SYSTEMIC-MEDIUM WEIGHT

84
  • -       HAS-CEN-OCCURENCE-DURING
  • Temporal link that indicates the event in
    question has happened (begun and ended) during
    the reference event.
  • Ex INFARCT DURING SURGERY HAS-CEN-OCCURENCE-DURI
    NG SURGICAL DOING

85
Perspectivalism
  • Perspectivalism

Different partitions may represent cuts through
the same reality which are skew to each other
86
Ontology
  • like cartography
  • must work with maps at different scales and with
    maps picking out different dimensions of
    invariants

87
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88
Varieties of granular partitions
  • Partonomies inventories of the parts of
    individual entities
  • Maps partonomies of space
  • Taxonomies inventories of the universals
    covering a given domain of reality
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