Welcome to Apache UIMA, a project of the
Apache incubator
. Our goal is a thriving community of users and
developers of UIMA frameworks, supporting components for
analysing unstructured content such as text, audio and
video.
What is UIMA?
Unstructured Information Management applications are
software systems that analyze large volumes of
unstructured information in order to discover knowledge
that is relevant to an end user. UIMA is a framework and
SDK for developing such applications. An example UIM
application might ingest plain text and identify
entities, such as persons, places, organizations; or
relations, such as works-for or located-at. UIMA enables
such an application to be decomposed into components,
for example "language identification" -> "language
specific segmentation" -> "sentence boundary
detection" -> "entity detection (person/place names
etc.)". Each component must implement interfaces defined
by the framework and must provide self-describing
metadata via XML descriptor files. The framework manages
these components and the data flow between them.
Components are written in Java or C++; the data that
flows between components is designed for efficient
mapping between these languages. UIMA additionally
provides capabilities to wrap components as network
services, and can scale to very large volumes by
replicating processing pipelines over a cluster of
networked nodes.
Apache UIMA is an Apache-licensed open source
implementation of the UIMA specification (that
specification is, in turn, being developed concurrently
by a technical committee within
OASIS
, a standards organization). We invite and encourage you
to participate in both the implementation and
specification efforts.
UIMA is a component framework for analysing unstructured
content such as text, audio and video. It comprises an
SDK and tooling for composing and running analytic
components written in Java and C++, with some support
for Perl, Python and TCL.
