Difference between revisions of "From BFO to IAO"

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Ontologies provide controlled structured representations of what is general in any given domain of scientific research. Referent tracking is an approach to the controlled structured representation of the corresponding particular entities, for example to particular patients, or particular disorders, as they change through time.  
 
Ontologies provide controlled structured representations of what is general in any given domain of scientific research. Referent tracking is an approach to the controlled structured representation of the corresponding particular entities, for example to particular patients, or particular disorders, as they change through time.  
  
Day 1 will provide an introduction to Basic Formal Ontology two ontologies at the heart of the work of the [http://obofoundry.org Open Biomedical Ontologies (OBO) Foundry] initiative, and to the Referent Tracking
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Day 1 will provide  
  
Basic Formal Ontology (BFO) is a small upper-level ontology representing types of continuants and occurrents. The Information Artifact Ontology is an ontology of continuants, such as documents, measurement results. In add
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*an introduction to Basic Formal Ontology, the top-level ontology that has been developed to serve integration of domain-level scientific ontologies, particularly within the context of the Open Biomedical Ontologies (OBO) Foundry] initiative,  
  
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*an introduction to Referent Tracking, and its applications to the task of relating ontologies to instance data in ways useful to healthcare and biomedical research
  
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Day 2 will provide
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*an introduction to the Information Artifact Ontology, a BFO-based ontology representing entities such as documents, measurement results, URIs, IDs, names, serial numbers, datatypes, databases, and ontologies.   
  
 
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[http://www.ifomis.uni-saarland.de/bfo/ Basic Formal Ontology]
 
[http://www.ifomis.uni-saarland.de/bfo/ Basic Formal Ontology]
  
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[http://org.buffalo.edu/RTU/ Referent Tracking]
  
 
[http://code.google.com/p/information-artifact-ontology/ Information Artifact Ontology]
 
[http://code.google.com/p/information-artifact-ontology/ Information Artifact Ontology]

Revision as of 07:52, 7 November 2008

From Basic Formal Ontology to the Information Artifact Ontology

July 22-23, 2009

Two-day Course organized in conjunction with the International Conference on Biomedical Ontology.

Ontologies provide controlled structured representations of what is general in any given domain of scientific research. Referent tracking is an approach to the controlled structured representation of the corresponding particular entities, for example to particular patients, or particular disorders, as they change through time.

Day 1 will provide

  • an introduction to Basic Formal Ontology, the top-level ontology that has been developed to serve integration of domain-level scientific ontologies, particularly within the context of the Open Biomedical Ontologies (OBO) Foundry] initiative,
  • an introduction to Referent Tracking, and its applications to the task of relating ontologies to instance data in ways useful to healthcare and biomedical research

Day 2 will provide

  • an introduction to the Information Artifact Ontology, a BFO-based ontology representing entities such as documents, measurement results, URIs, IDs, names, serial numbers, datatypes, databases, and ontologies.

Literature and Links

OBO Foundry

Basic Formal Ontology

Referent Tracking

Information Artifact Ontology


Faculty

Werner Ceusters is Professor in the Psychiatry Department of the University at Buffalo (UB), Director of the Ontology Research Group of the New York State Center of Excellence in Bioinformatics and Life Sciences, and Coordinator of Bioinformatics for the UB Health Science Faculties.

Alan Ruttenberg is a Senior Scientist at Science Commonsworking on structuring and using biological and clinical knowledge to answer questions and computationally interpret experimental data. He is a Coordinating Editor of the OBO Foundry and a chair of the OWL Working Group.

Barry Smith is SUNY Distinguished Professor in the University at Buffalo (New York, USA). His primary research focus is the application of ontology in biomedicine and other fields. He is one of the principal scientists in the National Center for Biomedical Ontology, a member of the Scientific Advisory Boards of the Gene Ontology Consortium, and a PI of the NIH-funded Protein Ontology and the Infectious Disease Ontology projects.