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UIMA

From Wikipedia, the free encyclopedia
Software and standard for data mining

UIMA (/juˈmə/yoo-EE-mə),[1] short forUnstructured Information Management Architecture, is anOASIS standard[2] forcontent analytics, originally developed atIBM. It provides acomponent software architecture for the development, discovery, composition, and deployment ofmulti-modal analytics for the analysis ofunstructured information and integration withsearch technologies.

Structure

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The UIMA architecture can be thought of in four dimensions:

  1. It specifies component interfaces in an analyticspipeline.
  2. It describes a set ofdesign patterns.
  3. It suggests two data representations: an in-memory representation of annotations for high-performance analytics and anXML representation of annotations for integration with remote web services.
  4. It suggests development roles allowing tools to be used by users with diverse skills.

Implementations and uses

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Apache UIMA
DevelopersIBM,Apache Software Foundation (since October 2006)
Stable release
3.1.1 / November 8, 2019; 6 years ago (2019-11-08)[3]
Written inJava withC++ enablement
Operating systemcross-platform
Typetext mining,information extraction
LicenseApache License 2.0
Websiteuima.apache.org
Repository

Apache UIMA, areference implementation of UIMA, is maintained by theApache Software Foundation.

UIMA is used in a number of software projects:

  • IBM Research'sWatson uses UIMA for analyzingunstructured data.[4]
  • The Clinical Text Analysis and Knowledge Extraction System (Apache cTAKES) is a UIMA-based system for information extraction from medical records.
  • DKPro Core is a collection of reusable UIMA components for general-purpose natural language processing.

See also

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References

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  1. ^UIMA Frequently Asked Questions (FAQ's)Archived 2013-05-07 at theWayback Machine The Apache Software Foundation
  2. ^UIMA Specification The Apache Software Foundation.
  3. ^"Apache UIMA - News".uima.apache.org. Retrieved11 December 2019.
  4. ^"Apache Innovation Bolsters IBM's "Smartest Machine on Earth" in First-ever Man vs. Machine Competition on Jeopardy! Quiz Show : The Apache Software Foundation Blog".blogs.apache.org. 14 February 2011. Retrieved23 April 2018.

External links

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