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Lecture 5 Why computer science needs philosophy
From  chromosome  to disease
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
and not only in the world of biology and medicine Joint Architectures as a Driver for Common Lexicons Presented to the Command and Control Ontology Exchange  Meeting Buffalo 15 Jan 2009 M. Kim Frisby US Joint forces Command J89 Joint Architectures &  Capability Engineering Division 757-836-7702 [email_address]
Operational Activities Systems Functions Joint Staff J7 Mapping Architectures Analysis Accreditations Platforms/Weapons  Concepts/Plans Applications/Services Data Bases & Models Networks/Comms Assessments Policy Standards Policy Standards Policy Standards Policy Standards Policy Standards Policy Standards Operational Programmatic Technical Documentation Policy Standards Leads to Interoperability, Joint Standards & DOTLMPF COAs Policy Standards Joint Capability Areas (JCAs) ,[object Object],[object Object],[object Object],[object Object],* Portfolio Mapping Uses Joint Tasks Service Tasks C2 Portfolio* - Programs of Record - Systems - Sub-systems - New Capabilities PECs-to-JCAs PA&E Mapping CPM Areas Capability Mapping Baseline The “Periodic Table” for Operational Capability Operational Nodes & Billets  JTF Operational Activities / Tasks / Sub-tasks Tier I UJTLs SN X.X ST  X.XX OP X.X.X TA X.X.X.X Op Nodes Joint Warfighter Billets Authoritative Sources: AUTLs, MCTL, NTTL, AFTL  TOR Other CPMs NCES/NECC USAF USA USMC USN Joint Common System Functions List (JCSFL)
with thanks to http://dbmotion.com what happens when patients move around?
[object Object],f f f f synchronic and diachronic problems of  data unification:  across space, and across time f
The Data Model That Nearly Killed Me by Joe  Bugajski  http://tiny.cc/S1HWo ,[object Object]
Are Health IT designers, testers and purchasers trying to kill people?  by Scot M. Silverstein http://tiny.cc/CKIW1
Sample problem presentation page generated via autopopulation in an EHR
Problem List for Mary Jones
Problem List for Mary Jones “ This entry was auto-populated when a nurse ordered a blood clotting test and erroneously entered the reason for the test as ‘atrial fibrillation’ (a common reason, just not the case here) to expedite the order's completion. … I am told it takes going back to the vendor to have this erroneous entry permanently removed. …”
Redundant, Alphabetical Problem List for Mary Jones
what happens when patients move around?
To solve the problem of unifying data, what we need is an ‘information model’
HL7 Reference Information Model Definition of Entity  ,[object Object]
States of Entity ,[object Object],[object Object],[object Object],[object Object]
HL7: Persons are Entities ,[object Object],[object Object],[object Object]
HL7: Persons are Entities ,[object Object],[object Object],[object Object]
http://hl7-watch.blogspot.com/
What is going on here? ,[object Object],[object Object],[object Object]
Ontologies have become core components of many large applications yet the training material has not kept pace with the growing interest. This paper addresses the issues of why one would build an ontology and presents a methodology for creating ontologies based on declarative knowledge representation systems.
Ontology Development 101: A Guide to Creating Your First Ontology (2001) ,[object Object],[object Object]
Classes ,[object Object],[object Object]
From the Protégé glossary: ,[object Object],[object Object]
From the Protégé glossary: ,[object Object],[object Object]
Instances ,[object Object],[object Object]
An instance or a class? ,[object Object],[object Object]
Wines are the instances? ,[object Object],[object Object],[object Object]
Glasses, then? Or bottles? ,[object Object],[object Object]
Only  ,[object Object],[object Object],[object Object]
Rules ,[object Object],[object Object],[object Object],[object Object]
All regions are classes ,[object Object],[object Object]
all of these things are classes ,[object Object]
The Alsace region does not exist ,[object Object],[object Object]
[object Object]
all of these things are classes ,[object Object]
Instances ,[object Object],[object Object],[object Object],[object Object]
An instance or a class? ,[object Object],[object Object]
Wines are the instances? ,[object Object],[object Object],[object Object],[object Object]
Or bottles ,[object Object],[object Object]
The Alsace region does not exist ,[object Object],[object Object]
From the Protégé glossary: ,[object Object],[object Object]
Microsoft Healthvault ,[object Object],[object Object]
Microsoft Healthvault ,[object Object]
The Pizza Ontology ,[object Object],[object Object]
The Use-Mention Confusion ,[object Object],[object Object],[object Object],[object Object],[object Object]
The standard engineering methodology ,[object Object],[object Object],[object Object],[object Object]
Arguments for Ontology as Conceptual Modeling ,[object Object],[object Object],[object Object]
programming real ontology into computers is  hard ,[object Object],[object Object],[object Object]
Painting the Emperor ´s Palace is h a r d
therefore ,[object Object],[object Object]
Each information system/ontology/conceptual model ,[object Object],[object Object],[object Object],[object Object]
An alternative approach
Why build  scientific  ontologies ,[object Object],[object Object],[object Object],[object Object]
Science-based ontology development ,[object Object],[object Object]
Ontological realism ,[object Object],[object Object]
Ontology (Science) ,[object Object],[object Object],[object Object]
Ontologies like the Gene Ontology are  part of science ,[object Object],[object Object],[object Object]
Ontologies like the GO are comparable to  ,[object Object],[object Object],[object Object]
Ontologies like the GO are being used by scientific journal publications  ,[object Object],[object Object]
Benefits of ontology peer review ,[object Object],[object Object]
Peer review creates incentives for investment of effort in ontology work ,[object Object],[object Object],[object Object],[object Object],[object Object]
For engineers,  ontologies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cntologies created to serve scientific purposes ,[object Object],[object Object],[object Object],[object Object],[object Object]
Background assumptions ,[object Object],[object Object],[object Object],[object Object]
We need to annotate our data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Goals of ontology (science) ,[object Object],[object Object],[object Object]
Goals of ontology (science) ,[object Object],[object Object],[object Object],[object Object]
Benefits of this approach ,[object Object],[object Object],[object Object]
such filtering especially needed in biomedical ontology ,[object Object]
Benefits of orthogonality ,[object Object],[object Object],[object Object],[object Object]
More benefits of orthogonality ,[object Object],[object Object]
More benefits of orthogonality ,[object Object],[object Object],[object Object]
The goal of orthogonality is a basic goal of science ,[object Object]
is there a problem with orthogonality? ,[object Object],[object Object],[object Object]
Better to have one consensus ontology serving multiple purposes imperfectly ,[object Object]
For engineers,  ontologies   need possess none of these features   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The special features of ontologies created to serve scientific purposes:   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Shimon Edelman’s   Riddle of Representation ,[object Object],[object Object]
Answer:  The cheese, of course

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Computer Science and Ontology

  • 1. Lecture 5 Why computer science needs philosophy
  • 2. From chromosome to disease
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  • 5. and not only in the world of biology and medicine Joint Architectures as a Driver for Common Lexicons Presented to the Command and Control Ontology Exchange Meeting Buffalo 15 Jan 2009 M. Kim Frisby US Joint forces Command J89 Joint Architectures & Capability Engineering Division 757-836-7702 [email_address]
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  • 7. with thanks to http://dbmotion.com what happens when patients move around?
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  • 10. Are Health IT designers, testers and purchasers trying to kill people? by Scot M. Silverstein http://tiny.cc/CKIW1
  • 11. Sample problem presentation page generated via autopopulation in an EHR
  • 12. Problem List for Mary Jones
  • 13. Problem List for Mary Jones “ This entry was auto-populated when a nurse ordered a blood clotting test and erroneously entered the reason for the test as ‘atrial fibrillation’ (a common reason, just not the case here) to expedite the order's completion. … I am told it takes going back to the vendor to have this erroneous entry permanently removed. …”
  • 14. Redundant, Alphabetical Problem List for Mary Jones
  • 15. what happens when patients move around?
  • 16. To solve the problem of unifying data, what we need is an ‘information model’
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  • 24. Ontologies have become core components of many large applications yet the training material has not kept pace with the growing interest. This paper addresses the issues of why one would build an ontology and presents a methodology for creating ontologies based on declarative knowledge representation systems.
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  • 53. Painting the Emperor ´s Palace is h a r d
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  • 83. Answer: The cheese, of course

Hinweis der Redaktion

  1. http://libweb.lib.buffalo.edu/dokuwiki/hslwiki/doku.php?id=ontology:buffaloevents:c2agenda
  2. UJTL – Universal Joint Task List AUTL – Army Universal Task List MCTL – Marine Corps Task List NTTL – Navy Tactical Task List AFTL – Air Force Task List PA&E – Program Analysis and Evaluation (Director under the Secretary of Defense) PEC – Program Element Code DOTMLPF – Doctrine, Organization, Training, Materiel, Leadership, Personnel, and Facilities CENTCOM – United States Central Command COAs – Courses of Action (AKA recommendations) Detailed mapping process links JCAs – UJTLs-activities-system functions-systems- policy and standards. Critical to focus analysis on total capabilities vice individual programs and systems. Can identify change impact(s) (intentional or unintentional) on the entire enterprise. The “ripple effect.” Allows for cross-portfolio analysis
  3. protege.stanford.edu/doc/users_guide/glossary.html
  4. protege.stanford.edu/doc/users_guide/glossary.html
  5. http://www.francethisway.com/images/map-wine-regions-france.jpg
  6. protege.stanford.edu/doc/users_guide/glossary.html
  7. http://msdn.microsoft.com/en-us/library/bb802291.aspx
  8. http://ontolog.cim3.net/forum/ontology-summit/2008-03/msg00070.html.
  9. With thanks to Shimon Edelman. See http://www.ai.mit.edu/~edelman/archive.html