Hi,

the second release candidate of Apache UIMA Ruta v3.0.0 is ready for voting.

This major release provides the functionality of UIMA Ruta 2.8.0 and
compatibility to UIMA 3.

This major release is not compatible with UIMA v2.

RC1 -> RC2:
- fixed issue report
- improved readme and release-notes

initial RC1:

Major Changes in this Release:

This release provides compatibility to UIMA v3. An upgrade from UIMA
Ruta v2 to this version requires also an update to UIMA v3 of the
overall application or Eclipse installation. Please refer to the UIMA v3
user's guide for detailed information:
https://uima.apache.org/d/uimaj-3.0.0/version_3_users_guide.html

This release contains changed in the analysis engine descriptor and the
type system descriptors and therefore requires an update of the Ruta
projects. This can be accomplished, for example, by  right-clicking on
the Ruta project, selecting "UIMA Ruta" and then "Update Project".

UIMA Ruta Language and Analysis Engine:
- Depends on UIMA 3.1.1 and uimaFIT 3.0.0
- Provides compatibility to UIMA v3

UIMA Ruta Workbench:
- Depends on UIMA v3 and provides compatibility to UIMA v3


Staging repository:
https://repository.apache.org/content/repositories/orgapacheuima-1245/

SVN tag:
https://svn.apache.org/repos/asf/uima/uv3/ruta-v3/tags/ruta-3.0.0

Update site (also contains composite site for review and uimaj for testing):
https://dist.apache.org/repos/dist/dev/uima/ruta/ruta-3.0.0-rc2/eclipse-update-site-v3

Archive with all sources:
https://dist.apache.org/repos/dist/dev/uima/ruta/ruta-3.0.0-rc2/ruta-3.0.0-source-release.zip

Overall 38 issues have been fixed for this release (2 with other
resolution) including an overlap with issues fixed for UIMA Ruta 2.8.0.
They can be found in the RELEASE_NOTES.html.

... and here:

https://issues.apache.org/jira/issues/?jql=project%20%3D%20UIMA%20AND%20fixVersion%20%3D%203.0.0ruta%20AND%20component%20%3D%20ruta%20ORDER%20BY%20created%20DESC

Please vote on release:

[ ] +1 OK to release
[ ]  0 Don't care
[ ] -1 Not OK to release, because ...

Thanks.

Peter

-- 
Dr. Peter Klügl
R&D Text Mining/Machine Learning

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