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<a name="Getting Started: Why UIMA"><h1><img src="images/UIMA_4sq50tightCropSolid.png"/>&nbsp;Getting Started: Why UIMA</h1></a>
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<blockquote class="sectionBody">
<p>
The "Getting Started: Why UIMA" guide should help you to understand what UIMA&trade; is,
what it can be used for, and how you can use it.
</p>
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<a name="What Is UIMA">
<h2>What Is UIMA
</h2>
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<blockquote class="subsectionBody">
<p>
UIMA stands for Unstructured Information Management Architecture and is a component
architecture and software framework implementation for the analysis of unstructured
content like text, video and audio data. Unstructured information represents the largest,
most current and fastest growing source of information available to businesses and governments.
</p>
<p>
The motivation to develop such a framework was to build a common platform for unstructured analytics,
to foster reuse of analysis components and to reduce duplication of analysis development.
The pluggable architecture of UIMA allows to easily plug-in your own analysis components and
combine them together with others. A full analysis task of a solution using unstructured analytics
like search or government intelligence applications is often not a
monolithic thing but a multi-stage process where different modules need to build on each other
to get a powerful analysis chain. In some cases also annotators from different specialized vendors
may need to work together to produce the results needed.
The UIMA application interested in such analysis results does not need to know the details of how annotators
work together to create the results. The UIMA framework take care of the integration and orchestration
of multiple annotators.
</p>
<p>
So the major goal of UIMA is to transform unstructured information to structured
information by orchestrating analysis engines to detect entities or relations and thus to build the
bridge between the unstructured and the structured world.
</p>
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<p>
The Apache UIMA project provides two Apache licensed UIMA framework implementations,
one for Java and one for C++, and an extension to support Asynchronous Scaleout, called UIMA-AS.
</p>
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<a name="What Can UIMA Be Used For">
<h2>What Can UIMA Be Used For
</h2>
</a>
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<blockquote class="subsectionBody">
<p>
UIMA is, by itself, an empty framework. Its purpose is to enable a world-wide, diverse community to develop
inter-operable, often complex analytic components, and allow them to be combined and run together, with
framework supplied scaled-out and remoting as needed. Some of the major external UIMA resources are linked
on the Apache UIMA website "<a href="external-resources.html">UIMA Resources on the Web</a>".
You can also check the <a href="sandbox.html">UIMA Addons and Sandbox</a> for components that can be used and combined
to build your own application.
</p>
<p>
There are lots of use cases where UIMA may be applicable. One of the major ones are search applications.
Within search applications, the unstructured content that is available mainly as text in various kinds
must be processed and analyzed to be searchable. To obtain a powerful search application, the text
content must be analyzed to get the document language followed by language dependent linguistic
processing such as tokenization, lemmatization and part of speech detection. After these steps a
more sophisticated analysis like entity detection and relation detection between entities can be done.
For all these analysis steps UIMA and UIMA components can be used.
</p>
<p>
Another important use case is business or government intelligence. For example, UIMA analysis is used
to extract structured information from car repair reports. This data is then used for quality feed-back
and problem early warning systems.
</p>
<p>
Other possible solutions where UIMA can be used for are the analsyis of call center notes to detect product
problems and customer issues or a public image monitoring solution to find out how others for example in internet
forums or press releases think about my product or company.
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