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Ontological Foundations of Biological Continuants

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Title: Ontological Foundations of Biological Continuants


1
Ontological Foundations of Biological Continuants
International Conference on Formal Ontology in
Information Systems
  • Stefan Schulz, Udo Hahn

Text Knowledge Engineering LabUniversity of Jena
(Germany)
Department of Medical InformaticsUniversity
Hospital Freiburg (Germany)
2
Representation of Continuants in Bio-ontologies
  • Human Anatomy
  • Foundational Model of Anatomy (FMA)
  • Portions of SNOMED, OpenGalen, MeSH
  • Other Organisms
  • Open Biological Ontologies (OBO)
  • Mouse (developmental stages), Zebrafish,
    Drosophila,
  • Species-Independent
  • Gene Ontology Cellular Component branch

Size 103 (Adult Mouse) 105 (FMA)
3
(No Transcript)
4
Semantic framework for biological structure
  • Foundational Relations
  • General Attributes
  • Theories

5
Semantic framework for biological structure
  • Foundational Relations
  • General Attributes
  • Theories

6
Semantic framework for biological structure
  • Foundational Relations
  • General Attributes
  • Theories

7
Some Foundational Relations between Biological
Continuants
y
Classes
Individuals
Rel(x,y)
x
Classes
Is-A
Individuals
Instance-of
part-of, has-location has-branch, bounds,
connects has-developmental-form
8
Some Foundational Relations between Biological
Continuants
Classes
Individuals
y
Rel(x,y)
x
Classes
Is-A
Individuals
Instance-of
part-of, has-location has-branch, bounds,
connects has-developmental-form
9
Some Foundational Relations between Biological
Continuants
y
Classes
Individuals
Rel(x,y)
x
Is-A, Part-Of, Has-Location Bounds, Has-Branch,
Connects Has-Developmental-Form
Classes
Instance-of
part-of, has-location has-branch, bounds,
connects has-developmental-form
Individuals
10
Class-Level Relations (I)
  • Cell has-part Axon (Gene Ontology)
  • Do cells without axons exist ?
  • Do axons withoutcells exist ?
  • Neuron has-part Axon (FMA)
  • Does every neuron has an axon?

11
Class-Level Relations (II)
Keep in mind that part_of means can be a part
of, not is always a part of GO Editorial Style
Guide, Oct 2003 The part_of relationship () is
usually necessarily is_part GO Editorial Style
Guide, Jan 2004
  • Cell has-part Axon (Gene Ontology)
  • Do cells without axons exist ?
  • Do axons withoutcells exist ?
  • Neuron has-part Axon (FMA)
  • Does every neuron has an axon?

A part_of B if and only if for any instance x
of A there is some instance y of B which is such
that x stands to y in the instance-level part
relation, and vice versa. Rosse Smith MEDINFO
2004
12
Class-Level Relations (III)
  • A, B classes, inst-of class
    membershiprel relation between instances
    Rel relation between classes
  • Rel (A, B) def
  • ? x inst-of(x, A) ? ? y inst-of (y, B) ? rel
    (x, y)

cf.Schulz (AMIA 2001)Schulz Hahn (KR 2004,
ECAI 2004)Rosse Smith (MEDINFO 2004)
13
Semantic framework for biological structure
  • Foundational Relations
  • General Attributes
  • Theories

14
General Attributes (top level categories)
  • Point 1-D 2-D 3-D

15
Semantic framework for biological structure
  • Foundational Relations
  • General Attributes
  • Theories

16
Heart
17
Theories
  • A set of formal axioms which describe a
    restricted (local) domain.
  • Four orthogonal theories for Biological Structure
  • Granularity
  • Species
  • Development
  • Canonicity

18
Theories
  • A set of formal axioms which describe a
    restricted (local) domain.
  • Four orthogonal theories for Biological Structure
  • Granularity
  • Species
  • Development
  • Canonicity

epistemiological
ontological
19
Theories
  • A set of formal axioms which describe a
    restricted (local) domain.
  • Four orthogonal theories for Biological Structure
  • Granularity
  • Species
  • Development
  • Canonicity

20
Granularity
  • Classification(level of detail of class
    distinction)

Cell
Cell
Blood Cell
Blood Cell
WBC
Lymphocyte
T-Lymphocyte
T4-Lymphocyte
(taxonomy)
21
Granularity
  • Classification(level of detail of class
    distinction)
  • Dissection(focus on organism, tissue, cell,
    molecule)

Cell
Cell
Cell Nucleus
Cell Nucleus
Chromosome
DNA
Nucleotide
-NH2
(partonomy)
22
Granularity of Dissection
  • Change in Granularity level may be non-monotonous
  • Change of sortal restrictions
  • 3-D ? 2-D boundary
  • Plurality ? Mass object
  • Change of relational attributions
  • disconnected ? connected

23
Granularity
  • Classification(level of detail of class
    distinction)
  • Dissection(focus on organism, tissue, cell,
    molecule)
  • Relations(relation hierarchy vs. few
    foundational relations)

included-by
included-by
part-of
proper-part-of
functionalpart-of
24
Granularity of Relations
  • included-by(CellNucleus, Cell)
  • part-of(CellNucleus, Cell)
  • included-by(VirusProtein, Cell)part-of(VirusProte
    in, Cell) ??

25
Theories
  • A set of formal axioms which describe a
    restricted (local) domain.
  • Four orthogonal theories for Biological Structure
  • Granularity
  • Species
  • Development
  • Canonicity

26
Linnean Taxonomy of Species
http//tolweb.org
27
Linnean Taxonomy of Species
http//tolweb.org
28
Linnean Taxonomy of Species
http//tolweb.org
29
Species
  • Introduction of axioms at the highest common level

Has-Part Skull
Has-Part Skull Has-Part Vertebra
Has-Part Skull Has-Part Vertebra Has-Part Jaw
30
Theories
  • A set of formal axioms which describe a
    restricted (local) domain.
  • Four orthogonal theories for Biological Structure
  • Granularity
  • Species
  • Development
  • Canonicity

31
Development
  • Represents time-dependent snapshots from the
    life cycle of an organism, e.g.,zygote, embryo,
    fetus, child, adult
  • Development stages are species-dependente.g.
    metamorphosis

32
Theories
  • A set of formal axioms which describe a
    restricted (local) domain.
  • Four orthogonal theories for Biological Structure
  • Granularity
  • Species
  • Development
  • Canonicity

33
Canonicity
  • Degrees of Wellformedness of Biological
    Structure
  • Canonic structure

34
Canonicity
  • Degrees of Wellformedness of Biological
    Structure
  • Canonic structure
  • Structural Variations

35
Canonicity
  • Degrees of Wellformedness of Biological
    Structure
  • Canonic structure
  • Structural Variations
  • Pathological Structure

acquired
congenital
36
Canonicity
  • Degrees of Wellformedness of Biological
    Structure
  • Canonic structure
  • Structural Variations
  • Pathological Structure
  • Lethal Structure

37
Canonicity
  • Degrees of Wellformedness of Biological
    Structure
  • Canonic structure
  • Structural Variations
  • Pathological Structure
  • Lethal Structure
  • Derivates of biologicalstructure

38
Canonicity
  • Five canonicity levels each level introduces
    axioms valid for higher levels

39
Examples
low
high
Granularity
general
specific
Species
embryo
adult
Development
low
high
Canonicity
40
CoverageFoundational Model of Anatomy
low
high
Granularity
general
specific
Species
embryo
adult
Development
low
high
Canonicity
41
CoverageGene Ontology
low
high
Granularity
general
specific
Species
embryo
adult
Development
low
high
Canonicity
42
CoverageMouse Anatomy
low
high
Granularity
general
specific
Species
embryo
adult
Development
low
high
Canonicity
43
Examples
  • Connects (RightVentricle, Left Ventricle)

Granularity normal Species
mammal Development adult Canonicity 4-5
false
Granularity any Species vertebrate Developmen
t early embryo Canonicity any
true
44
Conclusion
  • Integration of bio-ontologies requires
  • Uncontroversial semantics of relations and
    attributes
  • Clear commitment to theories, such as
    granularity, species, development and canonicity
  • Redundancy can be avoided
  • Encoding axioms at the highest common level in
    the species taxonomy (e.g. vertebrates,
    arthropods, primates) and benefit from
    inheritance in subsumption hierarchies

45
Ontological Foundations of Biological Continuants
International Conference on Formal Ontology in
Information Systems
  • Stefan Schulz, Udo Hahn

Text Knowledge Engineering LabUniversity of Jena
(Germany)
Department of Medical InformaticsUniversity
Hospital Freiburg (Germany)
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