© 2014 gb group limited rdf as a universal healthcare exchange language march, 2015 angell wang
TRANSCRIPT
© 2014 GB Group Limited
RDF as a Universal Healthcare Exchange Language
March, 2015 Angell Wang
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Agenda
1. About me
2. Mission and Strategy of Healthcare Info Exchange
3. Introduce RDF
4. How to achieve semantic interoperability by RDF
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MISSION:
Semantic interoperability of all
structured healthcare information
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Semantic interoperability: The ability of computer systems
to exchange datawith unambiguous, shared meaning.
– Wikipedia
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Strategy:
RDF as auniversal information representation
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Imagine a worldin which all healthcare systemsspeak the same languagewith the same meaningscovering all healthcare.
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What is RDF?
1. RDF stands for Resource Description FrameworkResource: pages, dogs, ideas...everything that can have a URIDescription: attributes, features, and relations of the resourcesFramework: model, languages and syntaxes for these descriptions
2. RDF is designed to be read and understood by computers
3. RDF is a part of the W3C's Semantic Web STANDARD STACK
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RDF is a triple model. Every piece of knowledge is broken down into ( subject, predicate ,object )
English assertion: Patient319 has name "John Doe".Patient319 has systolic blood pressure observation Obs_001.Obs_001 value was 120.Obs_001 units was mmHg.
RDF assertion: ( subject, predicate ,object ) patient319, name , "John Doe" . patient319, systolicBP , obs_001 . obs_001 , value , 120 . obs_001, units , mmHg .
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Tabular Data
Patient_ID BP_obervation BP_value BP_unit
patient319 obs_001 120 mmHg
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Key benefits of RDF
• RDF is self describing and capture information .
• Multiple data models and vocabularies can be easilycombined and interrelated
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Key benefits of RDF
• RDF is easy to map from other data representation.
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Key benefits of RDF
• RDF enables inference.
• If we know:?x a v:Mitral Valve .v:Mitral Valve rdfs:subClassOf v:Heart Valve .• Then we can infer:?x a v:Heart Valve .
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How to achieve semantic interoperability by RDF
• Standards:– Make everyone speak the same language– I.e., same data models and vocabularies
• Translations:– Translate between languages– I.e., translate between data models andvocabularies
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However
• Standardization takes time
Standards trilemma:
• Timely: Completed quickly• Good: High quality• Comprehensive: Handles all use cases
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However
• Modernization takes time
1. Existing systems cannot be updated all at once2. The new standard co-exists with the old
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However
• Diverse use cases Different use cases need different data, granularity and representations. One standard does not fit all!
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However
• Standards evolve, Version n+1 improves on version n
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Translation is unavoidable!
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Translation
• How to exchange info in different system?
Translation is unavoidable!
1. Translate Source/Target to RDF
2. Translate instance data between RDF data models
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Reference list :
1. David Booth http://dbooth.org/2014/yosemite/
2. David Booth http://dbooth.org/2014/rdf-as-univ/
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Thanks !