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  • 9:00 Introduction and Principles
Why Large-Scale Data-Driven Science Needs Ontologies
The need for a coordination strategy 1. Upper Level Coordination
BFO as domain-neutral upper-level ontology
BFO as starting point for downward populationDomain-specific ontologies
A common set of relations
Annotation of scientific data
Part storehouse of lessons learned, part QWERTY keyboard
Basis for common training
Works best under the hood
The need for a coordination strategy 2. Convergence on domain reference ontologies
OBO (Open Biomedical Ontologies) Foundry
IDO Infectious Disease Ontology Consortium
CROP Common Reference Ontologies for Plants

Overview of BFO

Instances and universals
Continuants and occurrents
Dependent entities and independent entities
PATO qualities
Different kinds of relations
Symmetry, asymmetry and inverses
The all-some rule
What to do with probabilistic statements?
Dispositions and the treatment of modality
Generically and specifically dependent continuants, concretizations, and relations of dependence
Information entities
Current state of BFO
How to migrate from BFO 1.0 to BFO 2.0

New Features of BFO 2.0

Material and immaterial entities
Three subtypes of material entity: objects, object aggregates, and fiat object parts
Continuant fiat boundaries
Coordinate systems and frames of reference
Object aggregates and the member_of relation, with an application to groups and organizations
Cognitive selection in the realm of continuants
Granularity on the side of continuants

Process Profiles, Rates, and Process Measurement Data

Full and partial processses
Lives and other histories
A top is spinning and simultaneously warming up
Process profiles as targets of process measurements
The Wiggers diagram
Cognitive selection
Quality process profiles
What did your temperature do since last night, Jim?
Relation to object aggregates
Other quantitative process profiles
Process profiles and time-series graphs
Process profiles and pathway diagrams
Process profiles and environmental niches