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Automated generation of metadata from line-of-business
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artifacts
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The
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semantic
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infrastructure
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must
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support
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clinical
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domains
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governed
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by
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regulation
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and
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complex
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business
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relationships,
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and
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also
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research
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where
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agility
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is
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paramount.
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Experience
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has
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shown
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that
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caBIG's
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model-driven,
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labor
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intensive
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semantics
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does
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not
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comfortably
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support
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rapid
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evolution
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of
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services
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that
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is
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characteristic
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of
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the
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research
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domain.
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Also
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the
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labor
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intensive,
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UML
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model-centric
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style
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of
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metadata
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creation
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will
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not
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scale
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to
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the
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NHIN,
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nor
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adapt
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easily
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to
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non-object
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oriented
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programming.
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It
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may
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be
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possible
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to
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automatically
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extract
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the
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contextual
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information
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about
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services
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from
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line-of-business
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artifacts,
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for
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example
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from
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RM-ODP
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artifacts,
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Forms
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or
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from
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B2B
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service
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definitions,
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and
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to
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generate
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data
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elements
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that
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describe
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the
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context
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of
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individual
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services
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and
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service
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interactions
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as
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metadata.
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This
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initiative
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will
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explore
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approaches
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to
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automated
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metadata
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extraction
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from
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line
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of
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business
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artifacts
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and
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will
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implement
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a
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proof
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of
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concept
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extraction
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capability,
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concentrating
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on
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RM-ODP
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and
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service
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artifacts.
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If
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successful,
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this
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approach
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could
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reduce
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manual
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effort
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to
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define
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the
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semantics
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of
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services
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while
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also
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making
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it
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easier
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to
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semantically
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define
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services
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consistently
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across
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multiple
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development
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platforms
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(.NET,
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Semantic
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Web,
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OO,
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etc.)
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and
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reduce
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redundancy
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in
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caBIG's
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services
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portfolio.
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This
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high-risk/high
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reward
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applied
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research
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activity
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will
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be
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limited
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to
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analysis
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and
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small
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scale
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feasibility
...
testing.
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Requirements
Initiative 2 section of the Requirements Initiatives Master List
Forum
Initiative 2 - Automated generation of metadata from line-of-business
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