What is UIMA?
What is the Concept Mapper
Major Changes in this Release
How to Get Involved
How to Report Issues
List of JIRA Issues Fixed in this Release
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.
ConceptMapper is a highly configurable, high performance dictionary lookup tool, implemented as a UIMA component.
Using one of several matching algorithms, it maps entries in a dictionary onto input documents, producing UIMA annotations.
The reference manual is here.
This release updates the Concept Mapper to use the current UIMA annotator APIs. It also adds the improvements:
Changes were also made to build specification to allow this project to be separately released. The binary build was changed to use the normal Maven conventions for naming the JAR artifact.
The Apache UIMA project really needs and appreciates any contributions, including documentation help, source code and feedback. If you are interested in contributing, please visit http://uima.apache.org/get-involved.html.
The Apache UIMA project uses JIRA for issue tracking. Please report any issues you find at http://issues.apache.org/jira/browse/uima