Semantics Enabled Industrial and Scientific Applications: Research,
Technology and Deployed Applications
Part II: A Healthcare Application
Keynote - the First Online Metadata and Semantics Research
Conference http://www.metadata-semantics.org
November 23, 2005
Amit Sheth
LSDIS Lab, Department of Computer Science,
University of Georgia
http://lsdis.cs.uga.edu
Thanks to our collaborators the Athens Heart Center & Dr. Wingeth
©UGARF and Amit Sheth (except when attributed to someone else).
Semantic Web and Life Science
• Data captured per year = 1 exabyte (1018)
(Eric Neumann, Science, 2005)
• How much is that?
– Compare it to the estimate of the total words
ever spoken by humans = 12 exabyte
• Death by data
• The need for
– Search
– Integration
– Analysis,
decision
support
– Discovery
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Not data, but
analysis and insight,
leading to decisions
and discovery
Ontologies are popular in life sciences
and health care
Semantic Web in Health-care and Life Sciences –
Applications and Demonstrations
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Active Semantic Document
A document (typically in XML) with
• Lexical and Semantic annotations (tied to
ontologies)
• Actionable information (rules over semantic
annotations)
Application: Active Semantic Patient Record for
Cardiology Practice.
- 3 populated ontologies
- EMRs in XML
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Practice Ontology
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Practice Ontology
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Drug Ontology Hierarchy (showing is-a relationships)
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Drug Ontology showing neighborhood of
PrescriptionDrug concept
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First version of
Procedure/Diagnosis/ICD9/CPT Ontology
maps to diagnosis
maps to procedure
specificity
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Active Semantic Doc with 3 Ontologies
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Explore neighborhood for drug Tasmar
Explore: Drug Tasmar
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Explore neighborhood for drug Tasmar
classification
classification
classification
belongs to group
brand / generic
belongs to group
interaction
Semantic browsing and querying-- perform
decision support (how many patients are
using this class of drug, …)
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More on ontologies, Languages and
Rules
• Schema
• Population (knowledge source)
• Freshness
• Use of W3C standards (XML, RDF, OWL,
RQL/SPARQL, SWRL)
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On-line demo of Active Semantic Electronic Medical Record
(deployed at Athens Heart Center)
Comments on Evaluation
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• Extreme User Friendliness
– Electronic Health Record is the focus of all
activities, no extra search, no switching of
windows
• Error Prevention
• Decision Support
• Better Patient Support and Insurance
management
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SW research @ LSDIS
Semantic Middleware
ASD
• Ontology design and population
• Automatic Metadata Extraction, Semantic Annotations
• Semantic Computations: (Inference), Rules,
Complex Relationships, Knowledge Discovery,
Semantic Associations
SemDis
• Active Semantic Documents
• Semantic Web Services/Processes
• Semantic Discovery on Adaptive Grid Services
WSDL-S
• Semantic Applications: Bioinformatics,
METEOR-S
Health Care, Intelligence/Gov.,
SemGrid
(Commercial: Risk & Compliance,
Content Aggregators)
• New themes: Semantics Enabled Networking Bioinformatics for
Glycan Expressions
& Middleware
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