Subcategories under Lucene

Subcategories Topics Posts Last Post
Apache Lucene is a high-performance, full-featured text search engine library written entirely in Java. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform.

If you have questions about using Lucene, please post them on the Java Users mailing list.  

(The Java Developer mailing list is for discussions about developing the internals of the Lucene and Solr libraries.)
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by JIRA jira@apache.org
Apache Solr is a search server focused on full-text search, relevancy, and performance. It builds on the Apache Lucene search library.
Sub-Forums: Solr - User Solr - Dev
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by Shawn Heisey-2
Nutch is web search software. It builds on the Apache Lucene search library, adding a crawler, web database (including full link graph), plugins for various document formats, user interface, etc. Nutch home is here. 29423 66550
by Apache Jenkins Serve...
The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing.
Hadoop includes these subprojects: Hadoop Common (archive), Avro (archive), Chukwa (archive), HBase (archive), HDFS, Hive, MapReduce, Pig and ZooKeeper.
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by JIRA jira@apache.org
Apache Tika is a toolkit for detecting and extracting metadata and structured text content from various documents using existing parser libraries. 20262 29365
by JIRA jira@apache.org
The general@lucene mailing list is for discussions about the top level Lucene Apache project and matters that affect all subprojects.  It is also a suitable place to ask questions when you aren't sure which sub project would be most useful for addressing a particular problem or use case.

it is not an appropriate place to ask questions about using or developing code for any of the individual sub projects.
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by Andi Vajda-2
Lucy will be a loose C port of the Java Lucene search engine library, with Perl and Ruby bindings.
Sub-Forums: lucy-user lucy dev
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by Peter Karman
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by Rich Bowen-2
47 123
by Rich Bowen-2
Mahout's goal is to build scalable, Apache licensed machine learning libraries. Initially, we are interested in building out the ten machine learning libraries detailed in nips06-mapreducemulticore.pdf using Hadoop. While these algorithms are our initial focus, we welcome contributions of other machine learning approaches.

Interested in helping? See the Wiki or send us an email. Also note, we are just getting off the ground, so please be patient as we get the various infrastructure pieces in place.
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by manisha dubey