Http://ontologist.com1 Earth to Major Tom Barry Smith .

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Transcript of Http://ontologist.com1 Earth to Major Tom Barry Smith .

http://ontologist.com 1

Earth to Major Tom

Barry Smith

http://ontologist.com

http://ontologist.com 2

Earth = GISHuman Body = AIS

http://ontologist.com 3

Two sides to SDTS

Quantitative: Spatial Object Definitions (Raster/Vector ...)

Qualitative: Standard Entities

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SDTS

Spatial Object Definitions– 0-, 1-, 2-dimensions– elemental and aggregates– some examples from SDTS

• Node: topological junction of two or more links or chains, or is at an end point of link or chain

• Chain: nonbranching sequence on non-intersecting line segments or arcs, bounded by nodes at each end

http://campus.fct.unl.pt/ama/tsig/slides/overview.ppt

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Conceptual Level

Standard Entities– Watercourse: a way or course through which

water may or does flow (includes stream, river, anabranch, barranca, branch, brook, canal, channel, creek, culvert, ditch, drain, flume, fork, lode, narrows, ... wash)

Standard Attributes– Intermittent/Perennial: occurring in interrupted

sequence vs. present at all seasons of the year

http://ontologist.com 6

GIS strong on quantitative side, weak on qualitative side

No robust geospatial ontology = no theoretically grounded taxonomy of the types of entities and relations in the geospatial world

http://ontologist.com 7

http://www.sedris.org/stc/2004/tu/edcs/sld024.htm

http://www.sedris.org/stc/2004/tu/edcs/sld024.htm

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Layers of the epidermis

kidshealth.org/kid/ body/skin_noSW.html

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Digital Anatomist Foundational Model of Anatomy

(Department of Biological Structure, University of Washington, Seattle)

http://ontologist.com 10

Goal in Biomedical Informatics

use the methodology of formally defined relations and a common top-level ontology to bridge the granularity gap between genomics and proteomics data and phenotype (clinical, pharmacological, patient centered) data

From molecules to diseases

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Examples of simple formal-ontological structures

is_a hierarchies

part_of hierarchies

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Pleural Cavity

Pleural Cavity

Interlobar recess

Interlobar recess

Mesothelium of Pleura

Mesothelium of Pleura

Pleura(Wall of Sac)

Pleura(Wall of Sac)

VisceralPleura

VisceralPleura

Pleural SacPleural Sac

Parietal Pleura

Parietal Pleura

Anatomical SpaceAnatomical Space

OrganCavityOrganCavity

Serous SacCavity

Serous SacCavity

AnatomicalStructure

AnatomicalStructure

OrganOrgan

Serous SacSerous Sac

MediastinalPleura

MediastinalPleura

TissueTissue

Organ PartOrgan Part

Organ Subdivision

Organ Subdivision

Organ Component

Organ Component

Organ CavitySubdivision

Organ CavitySubdivision

Serous SacCavity

Subdivision

Serous SacCavity

Subdivision

part

_of

is_a

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A Window on Reality

http://ontologist.com 14

Dependence Relations

Organisms Diseases

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A Window on Reality

Organisms Diseases

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Pleural Cavity

Pleural Cavity

Interlobar recess

Interlobar recess

Mesothelium of Pleura

Mesothelium of Pleura

Pleura(Wall of Sac)

Pleura(Wall of Sac)

VisceralPleura

VisceralPleura

Pleural SacPleural Sac

Parietal Pleura

Parietal Pleura

Anatomical SpaceAnatomical Space

OrganCavityOrganCavity

Serous SacCavity

Serous SacCavity

AnatomicalStructure

AnatomicalStructure

OrganOrgan

Serous SacSerous Sac

MediastinalPleura

MediastinalPleura

TissueTissue

Organ PartOrgan Part

Organ Subdivision

Organ Subdivision

Organ Component

Organ Component

Organ CavitySubdivision

Organ CavitySubdivision

Serous SacCavity

Subdivision

Serous SacCavity

Subdivision

part

_of

is_a

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A Window on Reality

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We can reason across such hierarchies and combinations

but only if the top-level categories and associated formal-ontological relations are well-defined and used consistently

http://ontologist.com 19

Formal-Ontological Categories

object

process

site

layer

fragment

quality

function

relation

boundary

region

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Formal-Ontological Relationsis_identical_to

is_a

part_of

develops_ from

derives_ from

located_at

depends_on

is_boundary_of

has_participant

has_agent

adjacent_to

contained_in

precedes

is_functioning_of

has_function

intends

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To support integration of ontologies

relational expressions such as

is_a

part_of

...

should be used in the same way by all the ontologies to be integrated

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to define these relations properly

we need to take account of both universals and instances in reality

http://ontologist.com 23

A is_a B =def.

‘A’ is more specific in meaning than ‘B’

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unicorn is_a one-horned mammal

alien implant removal is_a surgical process

Chios energy healing is_a therapeutic process

http://ontologist.com 25

This linguistic reading

yields a more or less coherent reading of relations like:

‘is_a’

‘synonymous_with’

‘associated_to’

http://ontologist.com 26

but it fails miserably when it comes to relations of other types

part_of = def. composes, with one or more other physical units, some larger whole

contains =def. is the receptacle for fluids or other substances.

http://ontologist.com 27

for how can concepts, on the linguistic reading, figure as relata of

relations like: part_of

adjacent_to

connected_to

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connected_to =def. Directly attached to another physical unit as tendons are

connected to muscles.

How can a meaning or concept be directly attached to another physical unit as tendons are connected to muscles ?

http://ontologist.com 29

is_a

human is_a mammal

all instances of the universal human are as a matter of necessity instances of the universal mammal

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Evaluation

Good ontologies are those whose general terms correspond to universals in reality, and thereby also to corresponding instances in reality.

http://ontologist.com 31

Kinds of relations

<universal, universal>: is_a, part_of, ...

<instance, universal>: this explosion instance_of the universal explosion

<instance, instance>: Mary’s heart part_of Mary

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Instance-level relations

part_of

is_located_at

has_participant

has_agent

earlier

. . .

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part_of

For instances:part_of = instance-level parthood

(for example between Mary and her heart)

For universals:A part_of B =def. given any instance a of

A there is some instance b of B such that a part_of b

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Different scientific cultures/terminologies

immunology

genetics

cell biology

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But:each (clinical, pathological, genetic, proteomic, pharmacological …) information system uses its own classification system

How can we overcome the incompatibilities which become apparent when data from distinct sources is combined?

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Answer:

“Ontology”

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Virtual Soldier Project

Major Tom

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Virtual Soldier Project

Anatomy Reference Ontology =

theoretical framework surrounding the Digital Anatomist Foundational Model of Anatomy

http://ontologist.com 39

Virtual Soldier Project:

Reference Ontology of Anatomy

Reference Ontology of Physiology

Reference Ontology of Disease Pathways

http://ontologist.com 40

Anatomical Entity

Physical Anatomical Entity

Material Physical Anatomical Entity

-is a-

Non-material Physical Anatomical Entity

ConceptualAnatomical Entity

AnatomicalStructure

BodySubstance

BodyPart

HumanBody

OrganSystem

OrganCell

OrganPart

AnatomicalSpace

Anatomical Relationship

CellPart

Biological Macromolecule

Tissue

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The Anatomy Reference Ontology

is organized in a graph-theoretical structure involving two sorts of links or edges:

is-a (= is a subtype of )

(pleural sac is-a serous sac)

part-of

(cervical vertebra part-of vertebral column)

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Parthood vs. Location

a part_of b = a located_in b OR a contained_in b

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Pleural Cavity

Pleural Cavity

Interlobar recess

Interlobar recess

Mesothelium of Pleura

Mesothelium of Pleura

Pleura(Wall of Sac)

Pleura(Wall of Sac)

VisceralPleura

VisceralPleura

Pleural SacPleural Sac

Parietal Pleura

Parietal Pleura

Anatomical SpaceAnatomical Space

OrganCavityOrganCavity

Serous SacCavity

Serous SacCavity

AnatomicalStructure

AnatomicalStructure

OrganOrgan

Serous SacSerous Sac

MediastinalPleura

MediastinalPleura

TissueTissue

Organ PartOrgan Part

Organ Subdivision

Organ Subdivision

Organ Component

Organ Component

Organ CavitySubdivision

Organ CavitySubdivision

Serous SacCavity

Subdivision

Serous SacCavity

Subdivision

http://ontologist.com 44

at every level of granularity

http://ontologist.com 45

Top-Level Categories in the FMAanatomical

entity

non-physicalanatomical entity

physicalanatomical entity

anatomical relationship

body substance

material physical anatomical entity

anatomical structure

non-material physical anatomical entity

body space

boundary anatomical attribute

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anatomical structure

body substance

anatomical space

boundary

anatomical attribute

anatomical relationship

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anatomical structure (cell, lung, nerve, tooth)

result from the coordinated expression of structural genes

have their own 3-D shape

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portion of body substance

inherits its shape from contained

urine

menstrual flood

blood ...

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anatomical space

cavities, conduits

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anatomical attribute

mass

weight

temperature

your temperature

its value now

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anatomical relationship

located_in

contained_in

adjacent_to

connected_to

surrounds

lateral_to (West_of)

anterior_to

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DNA

Protein

Organelle

Cell

Tissue

Organ

Organism

10-5 m

10-1 m

Scales of anatomy

10-9 m

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Complexity of biological structures

30,000 genes in human

200,000 proteins

100s of cell types

100,000s of disease types

1,000,000s of biochemical pathways (including disease pathways)

http://ontologist.com 55

Quantities in AIS

– raster/vector, no fixed coordinates (flexible earth), 3-Dimensional views

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Normativity/Canonicity

Instances

Statistics

Pathology

http://ontologist.com 57

Development and growth

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single-cell zygote

multi-cell zygote

morula

early blastocyst

gastrula

new born

infant

adolescent

young adult

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together with SPAN ontologies for processes/transformations

t i m et i m ephysiological processes

t i m

e

t i m

e

development processest i m

e

t i m

e

aging processest i m et i m egrowth processes

SNAP

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time

canonical vs. non-canonical

http://ontologist.com 61

timeunde

form

ed

d

efor

med

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timeunde

form

ed

d

efor

med

these are not instances

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timeunde

form

ed

d

efor

med

WINDOWS ON REALITY

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timeunde

form

ed

d

efor

med

SYMBIOSIS OF KNOWLEDGE ABOUT UNIVERSALS AND INSTANCES

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timeunde

form

ed

d

efor

med

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Homology

Comparative interplanetary GIS

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timeunde

form

ed

d

efor

med

hum

an c

him

panz

ee m

ouse

fly

ye

ast

bact

eria

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timeunde

form

ed

d

efor

med

hum

an c

him

panz

ee m

ouse

fly

ye

ast

bact

eria

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What do the kidneys do?Modularity

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How does a kidney work?NEPHRON

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Nephron FunctionsFUNCTIONAL SEGMENTS

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Bodily Systems

respiratorydigestive skeletal circulatorymusculatory immune

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ENDOCRINE

SYSTEM

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Taking parts out

tissue samples

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Functions

Genetic programming

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Time, pathology

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To define bio-ontological relations we need to take into account both

components and processes(= continuants and occurrents)

Components are that which changes; they are the bearers of processes.

cell participates_in cell division

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C

c at t c at t1

C1

transformation_of

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C

c at t c at t1

C1

embryological development

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C

c at t c at t1

C1

tumor development

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transformation_of

fetus transformation_of embryo

larva transformation_of pupa

adult transformation_of child

C2 transformation_of C1 =def. any instance

of C2 was at some earlier time an instance

of C1

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derives_from

c derives_from c1

=def c and c1 are non-identical

and exist in continuous succession

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the new component detaches itself from the initial component, which itself continues to exist

C c at t

C

c at t

C1

c1 at t1

c at t1

C1

c1 at t

the initial component ceases to exist with the formation of the new component

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two initial components fuse to form a new component

C

c at t

C1

c1 at t1

C'

c' at t