1 ontological imperialism barry smith presented at giscience 2000: first international conference on...
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Ontological Imperialism
Barry Smith
Presented at GIScience 2000: First International Conference on Geographic Information Science, Savannah, Georgia
October 28, 2000
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information systemsdatabasesorganizationslanguage-communitiessciencesreligionsmaps
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= a system of concepts pertaining to a given domain
... concepts that are more or less coherently specified
Each involves a certain conceptualization
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‘An ontology is a specification of a conceptualization’ (Gruber)
Tom Gruber’s Definition
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– a common system of concepts in terms of which different information communities can talk to each other and exchange data
Why make ontologies?
To provide a stable forum for translation and interoperability as between different conceptualizations
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Ontology, for Gruber, is a branch of KR
It starts with our conceptualizations,
and sees how far we can push through from there to a description of corresponding domains of objects (‘models’)
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KR Ontology
deals with the generated correlates of both good and bad conceptualizations
– with surrogate created worlds
– with ‘universes of discourse’
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Not all conceptualizations are equal
Bad conceptualizations: story-telling, myth-making, legacy information systems based on insecure foundations ...
Good conceptualizations: science (mostly)what else?
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Two sorts of conceptualizations
bad conceptualizations = relate merely to a created, surrogate world
good conceptualizations = transparent to some independent reality beyond
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A transparent conceptualization is a partition of reality
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Alberti’s Grid
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Ontology should foster transparent conceptualizations (veridical perspectives on reality)
It should provide a constraint on conceptualizations (Guarino)
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Transparent conceptualizations
The sciences provide us with a good first clue as to what these are
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Scientific conceptualizations
= those based on theories which have survived rigorous empirical tests
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Universe
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Periodic Table
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Perspectivalism
PerspectivalismDifferent conceptualizations may represent cuts through the same reality which are skew to each other
... astronomy ... chemistry ...
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California Land Cover
Complementary perspectives
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All veridical perspectives are equal, but some are more equal than others
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Cerebral Cortex
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Science and prediction
The perspectival cuts through reality yielded by the different sciences capture dimensions of reality in relation to which we can develop predictive theories
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Scientific conceptualizations are transparent
they illuminate some features of the underlying realityand trace over others
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Are there transparent conceptualizations outside science?
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The Empty Mask (Magritte)
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the conceptualization of core common sense
... it, too, is transparent
... it, too, illuminates some features of the underlying reality and traces over others
= the conceptualization shared by children and adults in everyday perceiving and acting
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Common-sense reality
= the world as apprehended via the conceptualization of core common sense (the middle-sized world)
= the world of mothers, chairs, cats, rivers, and trees
= the normal environment or niche which human beings share in common
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core common sense is true
mothers, chairs, cats, rivers and trees exist
if we did not have many true beliefs about such objects we would all be dead
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All human beings are experts as concerns common-sense reality
... but our shared knowledge is tacit only, it does not take the form of explicit theory
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Aristotle, the world’s first ontologist,
provides an explicit theory of common-sense reality
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Table-Top SpaceCommon-sense reality is first of all the world of table-top space, of animals, furniture, toys ...
– a space centered on objects
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Aristotle’s Theory of Categoriesis a catalog system for the world of objects of table-top scale
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siamese
cat
species
organism
animal
mammal
genera
From Species to Genera
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siamese
cat
speciesanimal
mammal
genera
category
organism
category
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siamese
cat
species
organism
animal
mammal
genera
category
substance object thing
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pekinese
mammal
cat
organism
substancespecies, genera
animal
instances
frog
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pekinese
mammal
cat
organism
substancetypes
animal
tokens
frog
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Common nouns
pekinese
mammal
cat
organism
substance
animal
common nouns‘cat’
proper names ‘Kermit’
frog
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Our common-sense knowledge involves substances
which pertain to what a thing is:
a cata man a planet
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and accidents,
which pertain to how a thing is at some time:
redhot in the agorasun-tanned spinning
attributes plusprocesses
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quality
color
red
Accidents, too, form trees
scarlet
R=175, G=54, B=24
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Accidents: Species and instances
instances (this or that token instance of redness here, now)
quality
color
red
scarlet
R232, G54, B24
species, genera
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Substance as object, thing
this statuethis cocktailthis frog
clayvodkaorganophosphate
vs. Substance as stuff, matter
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Objects vs. fields
form
matter
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scientific reality = (roughly) fields(matter + energy)
common-sense reality = objects
plus attributes and processes
quantitative
qualitative
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The opposition objects vs. fields in the realm of accidents too
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Objects vs. fields in the realm of accidents too
form
matter
R=175, G=54, B=24
‘red’
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Two different perspectives on reality:
the qualitative (objects, attributes, processes)
the quantitative (fields: matter, energy)
both transparent to the reality beyond
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(one is cruder, coarser than the other)
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science brings a finer mesh
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Two different perspectives:
Aristotle helps us with the qualitative perspective (of objects, attributes, processes)
Science helps us with the quantitative perspective (of fields)
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Serious theoretical problems confront the attempt to bridge the divide between these two perspectives
– these have analogues in the practical problems confronting cartographers who need to transform quantitative field data into qualitative forms
... and in the practical problems confronting builders of user interfaces for GISystems
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But more:
we face serious theoretical problems in extending Aristotle’s ontology to the geospatial realm
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Ontology of geographic forms
We still lack a good theory of the geographic realm as this is cognized in ordinary human cognition
Mark and Smith
NSF Grant BCS-9975557:
“Geographic Categories: An Ontological Investigation”
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How to produce a theory of the common-sense geographic realm ?
1. theory of vagueness
2. mereology (theory of wholes and parts, including negative parts)
3. the theory of fiat boundaries
4. qualitative geometry and qualitative topology
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How to produce a theory of the common-sense geographic realm ?
1. theory of vagueness
2. mereology (theory of wholes and parts, including negative parts)
3. the theory of fiat boundaries
4. qualitative geometry and qualitative topology
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Theory of vagueness
How can -based conceptualizations be transparent,if the world is shaped like this
?
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via some sort of distortion ?
(so that common-sense concepts would be like cookie-cutters, cleaving reality at non-existing joints) ?
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No: common sense does not lie
... our common-sense concepts are soft at the edges
and are employed by us accordingly
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they have a built-in sensitivity to thedifference between focal and borderline instances
focus
penumbra
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Fuzzy logic
illegitimately transforms this qualitative space into a quantitative field of precise probability assignments
x is red with probability 93.748 %
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How to produce a qualitative theory of vagueness ?
– a theory of the way in which our common-sense concepts apply to reality in such a way as to comprehend an opposition between focal and penumbral instances ?
open problem... implications for the understanding of error, approximation ...
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How to produce a theory of the common-sense geographic realm ?
1. theory of vagueness
2. mereology (theory of wholes and parts, including negative parts)
3. the theory of fiat boundaries
4. qualitative geometry and qualitative topology
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How to produce a theory of the common-sense geographic realm ?
1. theory of vagueness
2. mereology (theory of wholes and parts, including negative parts)
3. the theory of fiat boundaries
4. qualitative geometry and qualitative topology
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Is everything in common-sense reality either a substance or an accident?
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Armchair Ontology
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Positive and negative parts
positivepart
negativepart
(made of matter)
(not made of matter)
Armchair Ontology
or hole
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Negative parts (holes): not made of matterAristotle neglects features of the common-sense world not made of matter
Examples: property rightsobligations
institutionsspatial regionsspatial boundaries
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How to produce a theory of the common-sense geographic realm ?
1. theory of vagueness
2. mereology (theory of wholes and parts, including negative parts)
3. the theory of fiat boundaries
4. qualitative geometry and qualitative topology
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How to produce a theory of the common-sense geographic realm ?
1. theory of vagueness
2. mereology (theory of wholes and parts, including negative parts)
3. the theory of fiat boundaries
4. qualitative geometry and qualitative topology
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In the realm of table-top space boundaries are not ontologically problematic:
table-top objects have clear boundariesthey never share boundariesthey never overlap they do not flow, merge, splitthey do not change their genus as they
growthey do not change their genus from
season to season
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they do not change their genus according to what they abut
contrast: mountain – valley
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Bona Fide Objects
The objects of table-top space have bona fide boundaries
= boundaries which exist independently of our cognition
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Fiat Boundaries
= boundaries which exist only in virtue of our demarcations
Fiat objects = objects with fiat boundaries
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Examples of fiat objects
Two-dimensional fiat objects:
census tracts
postal districts
Wyoming
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Three-dimensional fiat objects
the Northern hemisphere
the 3-dimensional parcels to which mineral rights are assigned
the Klingon Empire
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Controlled Airspace
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How to produce a theory of the common-sense geographic realm ?
1. theory of vagueness
2. mereology (theory of wholes and parts, including negative parts)
3. the theory of fiat boundaries
4. qualitative geometry and qualitative topology
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How to produce a theory of the common-sense geographic realm ?
1. theory of vagueness
2. mereology (theory of wholes and parts, including negative parts)
3. the theory of fiat boundaries
4. qualitative geometry and qualitative topology
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Holes in the groundBone fide boundaries at the floor and walls
with a fiat lid
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What is a valley ?
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Grand Canyon
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mountain is the most prominent kind of geographic object in the common-sense ontology. But it is absent from the scientific ontology as a kind of thing
... the latter includes slope steepness and direction at every point, but represented as fields
What is a mountain ?
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Mountain
bona fide upper boundaries with fiat base:
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where does the mountain start ?
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Everest
Mount Everest
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Mont Blanc from Chatel
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Question:
Are mountains bona fide or fiat objects?
Did mountains exist before human cognitive agents came along?
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Bona fide mountain (tops)
Miquelon_and_Saint_Pierre_Island
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Are all holes fiat objects ?
hollows
tunnels
cavities
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Did hollows and tunnels exist before human cognitive agents came along?
Rabbit holes, worm holes
Geospatial forms as precursors of evolution
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What is a lake ?
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A filled hole ?
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What is a lake ?
1. a three-dimensional body of water ?
2. a two-dimensional sheet of water ?
3. a depression (hole) in the Earth’s surface (possibly) filled with water ?
are dry lakes lakes?or merely places where lakes used to be?
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Each of these has problems:
If we take:
1. a lake is three-dimensional body of water
then a lake can never be half full
Open problem: ontology of liquids
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What’s the point ?
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Common-Sense Reality
Why is it important for GIScience that we get the ontology of common-sense reality right?
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Science is important for engineering
Well,
... it’s important that we get the ontology of physics right because physics is a basis for engineering:
... bridges and airplanes are engineering products in which physical reality is embedded
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Why is naive ontology important?
It’s important that we get the ontology of common-sense reality right ...
... because GISystems are engineering products in which common-sense reality is embedded
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We need to keep track of form because that’s what users know
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Many biological sciences relate to the common-sense world of qualitative forms:
Ecology (need for ontology of niches or habitats)
Biogeography
Palaeontology = science of common-sense reality as it existed before human beings evolved
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Many spatial science and engineering disciplines need to span the bridgebetween the qualitative perspective of common sense and the quantitative, field-based perspective:
MeteorologyHydrologyDemographyEpidemiologyUrban Systems
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Geomorphology– here, too, different ways of slicing up reality
1. landscapes are continuous (fields) – view of contemporary geomorphology
2. landscapes consist of mountains, valleys, lakes – view of ordinary cognitive agent
What is the relation between these two ?
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The interest of geomorphologists in micro-processes (entrainment and transport of sediments, groundwater effluxes, weathering, etc.)
... is motivated precisely by attempts to understand form
(morphe = Greek ‘form’)
Can science just ignore mountains, valleys, floodplains ?
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Ontological Imperialism (Modest Version)
as far as possible our theories, information systems, databases should be compatible with the ontology of common sense
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This constraint
can lead to better standards
The U.S. Spatial Data Transfer Standard (SDTS) defines a lake as:
“any standard (sic) body of inland water”
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Applied to information systems it can
reduce errors (natural frames and slots)
increase robustness (remember Aristotle)
bring better user interfaces (at both ends)
... boost virility
... cure all known ailments
... clean ovens
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http://ontology.buffalo.edu