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Ontology Basics'

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Title: Ontology Basics'


1
Ontology Basics.
  • Jason Aronovitz, DO
  • Director Medical Informatics
  • American Board of Internal Medicine

2
(No Transcript)
3
Definition of Ontology
  • An ontology defines a set of representational
    primitives with which to model a domain of
    knowledge or discourse.
  • The representational primitives are typically
  • Classes (or sets)
  • Attributes (or properties)
  • Relationships (relations among class members).

4
Why build an Ontology
  • To share common understanding of the structure of
    information
  • among people
  • among software agents
  • To enable reuse of domain knowledge
  • to avoid re-inventing the wheel
  • to introduce standards to allow interoperability
  • To enable research of domain knowledge
  • Common language to measure domain

5
What are we want to accomplish
  • Glossary
  • Taxonomy
  • Ontology
  • Knowledge Base
  • Agents Interoperability Domain Sharing

6
Glossary
  • Affective growth in feelings or emotional areas.
  • Cognitive mental skills
  • Comprehension Understand the meaning,
    translation, interpolation, and interpretation of
    instructions and problems.
  • Knowledge Recall data or information.
  • Perception The ability to use sensory cues to
    guide motor activity.
  • Psychomotor manual or physical skills
  • Receiving Phenomena Awareness, willingness to
    hear, selected attention.
  • Valuing The worth or value a person attaches to
    a particular object, phenomenon, or behavior. 

7
Blooms Taxonomy
8
Classes and Slots
9
Facets
10
Instances
11
Knowledge Base
12
Uses within PI world
  • Exchange data among systems
  • Performance Data, Activity Data, Eligibility data
  • Provide services for answering queries
  • Search for a learning activity offered by other
    publishers.
  • Publish reusable knowledge bases
  • Clearinghouse of all PI activities to easily
    identify gaps.
  • Facilitate interoperability across multiple,
    heterogeneous systems and databases
  • Holy Grail for EHRs
  • Data flows from EHR to PI actvitity

13
Examples
  • Ontologies
  • SNOMED CT
  • Gene Ontology
  • MeSH
  • Taxonomy
  • ICD-9

14
Web Versions
  • Web 1.0 The web
  • Information sharing
  • HTML
  • Web 2.0 The social web
  • Build a critical mass
  • No programming need
  • Blogs, Myspace, Facebook
  • Web 3.0 The semantic web
  • Smart agents find info you
  • OWL -Web Ontology Language
  • Twine

15
Web Agents
  • "The agent promptly retrieved information about
    Mom's prescribed treatment from the doctor's
    agent, looked up several lists of providers, and
    checked for the ones in-plan for Mom's insurance
    within a 20-mile radius of her home and with a
    rating of excellent on trusted rating services."
  • Lucy's Semantic Web agent can also check
    potential appointment times against her mother's
    busy schedule, reschedule other appointments if
    need be, and moreall on its own, without help
    from Lucy.

16
The First Step for PI Ontology
  • Build the PI Controlled Vocabulary
  • Glossary of terms (definitions)
  • Organized into classes and sub classes
  • Dr. Davis is going to give an overview of the
    language of PI.
  • My Contact Information
  • Jaronovitz_at_abim.org
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