=== Lucene Status Report: 25th of June, 2008 ===

TLP

The TLP has added two new PMC members: Mike Klaas and Ryan McKinley.    
The PMC also voted to mark Christoph Goller as emeritus due 
to lack of participation for over 1 year and failure to respond 
to inquiries.

CRYPTOGRAPHY

Nutch uses PDFBox and thus has a dependency on BouncyCastle.  
https://issues.apache.org/jira/browse/NUTCH-621 has been opened and is actively being worked on.


LUCENE JAVA

Lucene Java is a search-engine toolkit.  Development has been
active and there have been many core improvements, especially in the
area of indexing performance and error recovery.  Version 2.3.2 was
released on 2008-05-06.

SOLR

Solr is a full text search server.  We continue to see strong adoption
and community interest.  Development has been active with many new
core features being added.  Koji Sekiguchi was added as a committer.
Solr 1.3 is expected to be released in the next quarter.

NUTCH

Nutch is a web-search engine: crawler, indexer and search runtime.
Otis Gospodnetic was added as a Nutch committer. Development of the
current code base was limited, and the planned 1.0 release is moved
to Q3 2008. Nutch community started discussions about a fundamental
redesign of the platform for the next releases.


LUCY

Lucy will develop a shared C-based core for ports of Lucene to other
languages, such as Perl, Python and Ruby.  No progress has been made
this quarter, but there has been some recent email activity. 

LUCENE.NET (incubating)

Michael Garski, of MySpace, has a couple of developers to bring on board.
Currently there is no active committership, though their is a small 
community of users present on the mailing list.  We're still optimistic
that this project will see new life soon.

TIKA (incubating)

Apache Tika is a toolkit for detecting and extracting metadata and
structured text content from various documents using existing parser
libraries. Tika entered incubation on March 22nd, 2007.

Niall Pemberton joined the project as a committer and PPMC member.
Community is currently working towards 0.2 release.

MAHOUT

Apache Mahout is a new subproject of the Lucene PMC with the goal of
building a suite of scalable machine learning libraries for text and
data mining.  We have received the Taste Collaborative Filtering engine
into Mahout as via a software grant from Sean Owen.  We have also
implemented several machine learning algorithms to date.  Sean Owen and 
Ted Dunning were added as committers.