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IFOMIS Projects Basic Formal Ontology 2. Ceusters 3. Medical Being – PowerPoint PPT presentation

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Title: IFOMIS Projects


1
IFOMIS Projects
  • Basic Formal Ontology
  • 2. Ceusters
  • 3. Medical Being

2
1. Basic Formal Ontology
  • mereotopology
  • dependence
  • granularity/partition theory
  • SNAP/SPAN
  • action/participation
  • plans/functions/executions
  • causality/powers/dispositions
  • environment
  • normativity

3
2. Ceusters
  • unstructured patient records as basis for a
    cosmic medical experiment
  • We provide formal-ontological services for
    Ceusters
  • He provides powerful software tools and
    influential support in our fight for good
    ontology in the medical informatics domain

4
Rules for Good Ontology
  • These are rules of thumb
  • They represent ideals to be approximated to in
    practice
  • (and often come with trade-offs)

5
3. Medical Being
  • MedO
  • many MedOs
  • BFO SNAPs, SPAN(s), granularity
  • MedO SNAPs, SPAN(s), granularity
  • different bodily systems
  • total bodily system

6
OUTPUT
  • Basic Formal Ontology
  • collaboration with B. Bennett re axiom systems
  • conference presentations
  • many publications in good journals
  • 2. Ceusters
  • ontology software tools for medical NLP
  • 3. Medical Being
  • a big book

7
Medical Being
  • mereotopology Schubert (anatomy with holes)
  • dependence
  • granularity/partition theory molecules, cells
  • SNAP/SPAN anatomy, physiology
  • action/participation doctor, patient
  • plans/functions/executions therapy, application
    of therapy
  • causality/powers/dispositions placebo effect
  • normativity health, disease, normal liver
  • environment environmental influences on disease

8
Medical Being
  • a book,
  • a textbook of medical ontology
  • for pedagogical purposes
  • for testing purposes (applied formal ontology)
  • as a showcase of good ontological methods

9
Chapters
  • Main Body Systems
  • structural system
  • bones, muscles, connective tissue
  • skin and hair
  • circulatory system
  • heart, veins, arteries, blood
  • digestive system
  • intestinal system
  • urinary system

10
Chapters
  • Main Body Systems (contd.)
  • nervous system
  • respiratory system
  • immune system
  • How do these systems relate together?
  • (a medico-ontological analogue of the mind-body
    problem)

11
Chapters
  • Embryonic Development
  • Sexual Reproduction
  • Birth
  • Childhood
  • Adolescence
  • Aging
  • Coma
  • Death

12
Chapters
  • Health
  • Disease
  • Infection
  • Accident, Injury, Wound
  • Epidemiology

13
Chapters
  • Sleep, anaesthesia, coma
  • Pain, Consciousness, Empathy, Sympathy
  • Mental illness
  • Therapy (null therapy)
  • Cure
  • Drug
  • Recuperation

14
Chapters
  • Antigens
  • viruses
  • bacteria
  • Parasites
  • Food
  • Alcohol

15
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 by addressing NORMATIVE ISSUES such as what
    holds in the standard case

16
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)

17
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)

18
Basic categories
  • are reflected by morphologically simple terms
  • dog
  • pain
  • foot
  • blood
  • hunger
  • hot
  • red
  • diabetes

19
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).

20
Problem cases
  • Fictional entities?
  • Absences?
  • Holes?

21
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)

22
Perspectivalism
  • Perspectivalism

Different partitions may represent cuts through
the same reality which are skew to each other
23
Ontology
  • like cartography
  • must work with maps at different scales and with
    maps picking out different dimensions of
    invariants

24
(No Transcript)
25
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

26
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

27
Example of cheese-paring
substance
action (relational process)
substance
agent (substance plus role)
patient (substance plus role)
linked by mutual dependence
28
Always ask the question
  • when is this proposition true?
  • when does this entity exist?
  • Different sorts of answers
  • at ti (for SNAP entities)
  • -------------------------------------------
  • timelessly looking down on the order of time
    from the outside (for SPAN entities)
  • -------------------------------------------
  • through the time interval ti,tj ?

29
John lived in Kansas for 25 years
  • when is this proposition true?
  • when does the entity which makes it true exist?
  • The problem with states of affairs is that they
    are not mereologically determinate
  • What are the parts of the state of affairs that
    John lived in Kansas for 25 years

30
Against Sentences
  • Nouns and verbs are in order as they stand
  • The mereological indeterminacy of states of
    affairs goes hand in hand with the ontological
    perversity of the sentence

31
Everything
  • within SNAP is mereologically determinate
  • Everything
  • within SPAN is mereologically determinate

32
Sums within SNAP are always mereologically
determinate
  • John plus his role Major John
  • John plus his quality hungry John
  • John plus his disease diabetic John, John the
    case of diabetes

33
Sums within SPAN are always mereologically
determinate
  • The course of Johns disease plus the course of
    Johns treatment plus the course of Johns
    recuperation
  • The first half of the match

34
Double-Counting
  • in realm of substances
  • person
  • ear, nose, throat, arm
  • family, clinical trial population
  • fiat parts and aggregates should be explicitly
    marked as involving double-counting

35
Double-Counting
  • in realm of processes
  • process
  • 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

36
Rule Always mark cases of double-counting
  • wherever this occurs within a single ontology.
  • Double-counting is perfectly acceptable when we
    are using more than one ontologies simultaneously
    (yielding separate views of one and the same
    reality)
  • Varzi An inventory of reality should involve no
    double-counting
  • (this principle is unsustainable)

37
SNAPshot ONTOLOGY
38
SPAN ONTOLOGY
39
SPAM ONTOLOGY
40
Core Categories
  • are those categories of an ontology which
    survive when all cases of double counting have
    been eliminated

41
Rule No Crossing Categories
  • If C is a core category then an instance of C is
    always an instance of C whichever view of C we
    take
  • If C is a core category then an instance of C is
    always an instance of C whichever granularity we
    take
  • If C is a core category then all parts and
    aggregates of instances of C are also instances
    of C

42
Determinables and Determinates
  • Determinable color
  • Determinate this particular shade of redness
  • (holds for tokens and for types)
  • Determinable Johns temperature
  • Determinate Johns temperature of 62 degrees
  • (The value is changing all the time)

43
Rule
  • If x instances a category under any
    determinable, then it instances this category
    under all determinables
  • Johns temperature is a quality (a SNAP entity)
  • The value of Johns temperature at a time is a
    quality (a SNAP entity)
  • (This is so even if this value is changing
    continuously)

44
Rule Respect Granularity
spatial region
quality
substance
parts of spatial regions are always spatial
regions
45
Respect Granularity
spatial region
quality
substance
parts of substances are always substances
46
Respect Granularity
spatial region
quality
substance
parts of qualities are always qualities
47
Relations crossing the SNAP/SPAN border are not
part-relations
Johns life
48
Relations between entities at different
granularities
  • are part relations
  • Hence we have two sorts of part-relations
  • within a granularity
  • between granularities
  • Where granularities start and stop is determined
  • by the formation of scientific disciplines
  • by fiat?

49
Rule for Crossing Granularities
  • For x and y instances of core categories
  • If x is part of y, then x is of the same core
    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)

50
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)

51
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)

52
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)

53
Rules for good syntax in formalizing ontology
  • entities of the same category should be
    represented by means of symbols of the same type
  • some symbols will not represent entities at all
    (V, ?, , ?, etc.)

54
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 )

55
Trade off between cheese-paring and sake-mongering
  • We can cut the cheese in many ways
  • But when we say
  • For Pierres sake , for Ingvars sake
  • then
  • There are no sakes in this room
  • And this is so however we cut the cheese

56
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)

57
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

58
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
  • Problem cases shapes, colors ?

59
Natural scientific classifications are principled
60
Principled classifications satisfy the
no-diamonds rule
  • A E
  • F
    G
  • B C D

  • H

Good
Bad
61
Counterexample in the realm of artifacts ?
62
Eliminating counter-examples
urban structures
buildings
parking areas
multi-story car-parks
Ontoclean
63
Rule No others
  • All category labels should be positive
  • No category labels like
  • entities which do not fall under the other
    categories

64
Rule Representations
  • A representation is never identical with the
    object which it is a representation of

65
Rule 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.

66
Fallibilism
  • Ontological claims advanced as true today may
    well be rejected tomorrow in light of further
    discoveries or of 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

67
Rule 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
    Johansson, Smith

68
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

69
Quine is wrong
  • There is no entity without identity
  • We have no identity criteria for
  • people
  • taxes
  • plans
  • diseases

70
Quine is wrong
  • Quines slogan
  • -- no entity without an identity criterion --
  • represents a confusion of ontology and
    epistemology
  • Compare no truth without a truth criterion

71
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

72
SNAPshot ONTOLOGY
73
SNAPshot ONTOLOGY
74
Tree structure
  • Higher nodes within the tree represent more
    general universals, lower nodes represent less
    general universals.

75
  • 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.

76
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

77
An Ontology (Taxonomy) should be Principled
  • Principled Constructed for a single purpose
  • Principled Generative (recursive?)
  • Principled Double-counting clearly marked
  • Principled SNAP-SPAN opposition reflected (so
    mereological determinateness is guaranteed)
  • Principled Clear rules when a new category must
    be admitted
  • What else?
  • CYC is not principled

78

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

79
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

80
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)

81
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)

82
Rule Seek to establish a 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

83
Rule Aim for Exhaustiveness
  • The chemical classification of the noble gases is
    exhausted by
  • Helium, Neon, Argon, Krypton, Xenon and Radon.
  • normally very hard to achieve

84
For a taxonomy with a basis in minimal nodes
  • every intermediate node in the tree is
    identifiable as a combination of minimal nodes.

85
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.

86
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.

87
Which rules satisfied by BFO?
88
Types of Formal Relation
  • Intracategorial
  • Mereological (part)
  • Topological (connected, temporally precedes)
  • Dependency (e.g. functional ?)
  • Intercategorial
  • Inherence (quality of)
  • Location
  • Participation (agent)
  • Dependency (of process on substance)

89
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

90
Trees of universals (species-genus hierarchies)
  • capture the way the world is (realism)
  • they depict the invariant structures/patterns/r
    egularities in reality

91
BUT 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)

92
TEEcentric (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

93
Two distinct realms of being
universals particulars
general individual
types tokens
species instances
essence fact
94
species, genera
mammal
frog
instances
95
Common nouns
common nouns proper names
96
types
mammal
frog
tokens
97
Accidents Species and instances
types
tokens
98
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)

99
Substance universals
  • pertain to what a thing is at all times at which
    it exists

cow man rock planet VW Golf
100
Quality universals
  • pertain to how a thing is at some time at which
    it exists

red hot suntanned spinning
Clintophobic Eurosceptic
101
Process universals
  • reflect invariants in the spatiotemporal world
    taken as an atemporal whole
  • football match
  • course of disease
  • exercise of function
  • (course of) therapy

102
Processes and qualities, too, instantiate genera
and species
  • Thus process and quality universals form trees

103
Accidents Species and instances
quality
color
red
scarlet
R232, G54, B24
this individual accident of redness (this
token redness here, now)
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