Knowledge Representation, Structuring and Ontology Development - PowerPoint PPT Presentation

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Knowledge Representation, Structuring and Ontology Development

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Title: PowerPoint Presentation Author: James Cimino Last modified by: James Cimino Created Date: 5/30/2003 3:22:24 PM Document presentation format – PowerPoint PPT presentation

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Title: Knowledge Representation, Structuring and Ontology Development


1
Knowledge Representation, Structuring and
Ontology Development
  • Arden Homestead
  • June 4-5, 2003

2
Knowledge-Based Terminology
  • History
  • Theory
  • Principles
  • Reality
  • Other efforts
  • Additional applications
  • Additional research

3
History
  • DXplain Juvenile Polyarteritis Nodusm and
    Kawasaki Disease?
  • Comparing disease descriptions to detect
    redundancy
  • Detecting redundancy in the COSTAR Directory
  • UMLS
  • CPMC CIS Terminology

4
Theory
  1. Knowledge-based approach should make high-quality
    terminologies easier to create
  2. Knowledge-based approach should make
    terminologies easier to use
  3. Knowledge-based approach should make
    terminologies easier to maintain

5
Principles
  • Concept-oriented
  • Multiple hierarchies
  • Semantic relations
  • Inheritance

6
Reality The MED
  • Local terminologies
  • National standards
  • UMLS
  • Other projects
  • 77,000 concepts
  • Lab tests and drugs have definitions

7
Reality Use of the MED
  • Translating local codes for storage in repository
  • Display spreadsheets for summary reporting
  • Class-based decision support
  • Translation for information retrieval

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11
Problem-Oriented Views of the EMR
Heart
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15
Reality MED Maintenance
  • Semi-automated lab update
  • Automated pharmacy update
  • Manual updates (ASV)
  • Some audits done routinely

16
Other efforts
  • SNOMED
  • Galen
  • UMLS
  • KIF
  • Conceptual graphs

17
Additional applications
  • Infobutton Manager
  • Cornell neurobiology
  • At CPMC?

18
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21
Towards a ColumbiaCornell Collaboration
  • Laboratory of Neuroinformatics
  • Weill-Cornell campus
  • Funded by the NIHs Human Brain Project
  • We seek collaborators to help develop BrainML
  • Data description language for experimental
    neurobiology
  • XML syntax, XML Schema lexical structure
  • Lexicon trees codify values for neuroscience
    attributes
  • Built on our BrainMetaL metalanguage
  • Not a single note but a suite

22
A Sample BrainML Lexicon
23
Additional research
  • Additional representations (Protégé)
  • Knowledege-based editing
  • Local Updates
  • Visualization
  • Richer semantics
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