UIMA

Apache UIMA
Developer(s) IBM, Apache Software Foundation (since October 2006)
Stable release
2.5.0 / January 14, 2014 (2014-01-14)[1]
Written in Java with C++ Enablement
Operating system Cross-platform
Type Text mining, Information Extraction
License Apache License 2.0
Website http://uima.apache.org/

UIMA (Pronounced as ″u e ma″[2]) stands for Unstructured Information Management Architecture. An OASIS standard[3] as of March 2009, UIMA is to date the only industry standard for content analytics. Other general frameworks used for natural language processing include the General Architecture for Text Engineering (GATE) and the Natural Language Toolkit (NLTK).[4]

UIMA is a component software architecture for the development, discovery, composition, and deployment of multi-modal analytics for the analysis of unstructured information and its integration with search technologies developed by IBM. The source code for a reference implementation of this framework has been made available on SourceForge, and later on the website of the Apache Software Foundation.

One potential use of UIMA is in a logistics analysis software system that could convert unstructured data such as repair logs and service notes into relational tables. These tables can then be used by automated tools to detect maintenance or manufacturing problems.

Another use of UIMA is in systems that are used in medical contexts to analyze clinical notes, such as the Clinical Text Analysis and Knowledge Extraction System (Apache cTAKES).

Structure of UIMA

The UIMA architecture can be thought of in four dimensions:

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

Watson

IBM Research's Watson uses UIMA for analyzing unstructured data.[5]

See also

References

This article is issued from Wikipedia - version of the 6/12/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.