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.
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.
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You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/HeidelTime/heideltime/network/alerts).
Bumps uimaj-core from 2.8.1 to 3.3.1.
Release notes
Sourced from uimaj-core's releases.
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Commits
b652867[maven-release-plugin] prepare release uimaj-3.3.1a43f366Merge branch 'maintenance/3.3.x' into release/3.3.13ba8f33Merge pull request #261 from apache/refactoring/260-Issues-fixed-report-for-G...4300917Issue #258: Apache UIMA Java SDK 3.3.1 release45394a4Issue #258: Apache UIMA Java SDK 3.3.1 releasef337a1dIssue #258: Apache UIMA Java SDK 3.3.1 release2ab21b6Issue #260: Issues-fixed report for GitHub and Jira1ee4d59Issue #258: Apache UIMA Java SDK 3.3.1 release14ca7bbIssue #258: Apache UIMA Java SDK 3.3.1 release6870f8dIssue #258: Apache UIMA Java SDK 3.3.1 releaseDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/HeidelTime/heideltime/network/alerts).