Units in PATO and Investigation Ontology matters Chris Mungall and Barry Smith.

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Presentation transcript:

Units in PATO and Investigation Ontology matters Chris Mungall and Barry Smith

Reality has various measurable dimensions  length  weight  temperature  specific gravity  etc.

Fiat boundaries  The product of (our) gridding activity

Artist’s Grid

Measurement belongs to the realm of partitions... 0     massively increased... normal increased chronic...

An Act of Measurement portion of reality: dependent magnitude (here: distance) + independent bearer

The Act of Measurement tape measure (grid) projected onto reality with endpoints mapped to endpoints l l l l l l l l l l l l l l l l l l l l l l l

Scalar qualities  A scalar quality can be partitioned on a linear scale  fiat boundaries  Scalar qualities can be measured  Measurements involve units  A unit is a fiat subtype of a scalar qualities  Measurements are the simplest sorts of experiments (depend on equipment...)

fiat subtypes of scalar qualities spatial quality lengthweight temperature is_a shortlongheavylight … quality hot

fiat subtypes of scalar qualities spatial quality lengthweight temperature is_a short [length]light [weight] … quality

Units are fiat subtypes of qualities spatial quality lengthweight temperature is_a 1mm1cm1g1kg … quality

Representation of measurements spatial quality length weight temperature is_a mm cm kg g quality unit measurement_of

Ontology of measurement types (units)  units are artifacts created through specific measurement practices

Measurement instances in OWL  Numbers are not part of the ontology; they are part of the data this-tail MA tail this- length PATO length this-cm- measurement UO cm 2.1 has_magnitude has_quality has_ measurement

Investigation Ontology Functional Genomic Investigation Ontology Clinical Trial Ontology Imaging Ontology Measurement Ontology Phenotype (Quality) Ontology Unit Ontology (List?)

scientific investigation  problem analysis  information gathering  objective (e.g. to test a hypothesis)  experimental design  experiment optional:  result interpretation  result evaluation

Measurement Ontology