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Projects tagged ‘index’ and ‘lucene’


[11 total ]

53 Users
   

Beagle is a desktop-independent service for indexing and searching your data. The Beagle daemon transparently monitors your data and updates the index to reflect any changes. On an inotify-enabled ... [More] system, these updates (e.g. new files, emails, chat) happen more-or-less in real time. Beagle supports many different file formats and can index files/email/browsing history/chat logs/RSS feeds etc. [Less]
Created over 3 years ago.

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dodalizer is a code search application that indexes various source code files and makes it possible to query them based on various criteria like the classnasme, methods, imports, etc.
Created 12 months ago.

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The project was created as an open space for adding documentation and material related to the envisioned AGRIS portal.
Created 8 months ago.

0 Users

a full web project based on lucene, use some Chinese Analyzer for example, paoding and so on.
Created about 1 month ago.

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evaSearch is a open source enterprise server for indexing documents on local and share folders. Then you can quickly find your files using many user interfaces like a Web site or a console application.
Created 10 months ago.

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anveshitha is a code search application that indexes various source code files and makes it possible to query them based on various criteria like the classnames, methods, imports, etc.
Created 12 months ago.

0 Users

To Date: Given a directory will read in all text from pdf, chm, html, text files in the directory and all sub directories. Uses Lucene to index, generates multiple types of queries to use directory ... [More] structure in an effort to enhance precision. It was an interesting project but this will no longer be maintained as of 3/17/09. If you need any information please feel free to contact me at matthew.madson@gmail.com [Less]
Created 9 months ago.

0 Users

Lucenesir consists of Laure and Lisrv, that Laure is an assistant to create lucene index from database, Lisrv is a server to provide index query via socket from any other languages. Lucenesir ... [More] servers for drupal original,but it is an independent index tool also.Using Lisrv, it is easy to use lucene service in other apps or other language apps,such as Python,PHP,Perl,Ruby and so on. [Less]
Created about 1 year ago.

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MontezumaMontezuma is a full-text indexing/search engine library written entirely in Common Lisp. Montezuma is a Common Lisp port of Ferret. Ferret is a Ruby port of Lucene. Lucene is sort of Doug ... [More] Cutting's Java version of Text Database (TDB), which he and Jan Pedersen developed at Xerox PARC, and which, to complete the circle, was written in Common Lisp (see "An Object-Oriented Architecture for Text Retrieval"). We are hoping Montezuma will have better performance than both Ferret and Lucene, not because of doing anything fancy, but because of relying on native code-generating Common Lisp implementations. Currently performance approaches that of Lucene, but is far from Ferret's relatively blazing speed. See PerformanceComparisons. Montezuma is named after the Montezuma Oropendola. Current StatusThe latest release is the Montezuma 0.1.3 release candidate featuring UTF-8 support and is available for download. The first release was made July 13, 2006. To install it: (asdf-install:install '#:montezuma)You can also download a tarball or check out the latest SVN source from this site. Montezuma is also installable via clbuild. Indexing is complete, with both in-memory indices and indices on disk. Single-term queries, boolean queries, phrase queries and wildcard queries basically work (though there are bugs). Queries can be constructed via the API as well as by parsing a simple query language. RequirementsMontezuma uses CL-PPCRE and CL-FAD, both of which are ASDF-installable. I've tested it with OpenMCL, SBCL (version 0.9.12 or later, due to a bug in earlier versions) and ACL. Loading, Running, TestingLoad via ASDF: CL-USER> (asdf:oos 'asdf:load-op '#:montezuma) ; loading system definition from ; /Users/wiseman/src/montezuma/montezuma.asd into # ; registering # as MONTEZUMA ; registering # as MONTEZUMA-TESTS ; ...Load and run unit tests via ASDF: CL-USER> (asdf:oos 'asdf:test-op '#:montezuma) ; compiling file "/Users/wiseman/src/montezuma/tests/unit/tests.lisp" (written 23 FEB 2006 11:37:38 AM): ; ... ;; MONTEZUMA::TEST-PRIORITY-QUEUE ................ ;; MONTEZUMA::TEST-PRIORITY-QUEUE-CLEAR .. ;; MONTEZUMA::TEST-PRIORITY-QUEUE-STRESS . ;; MONTEZUMA::TEST-RAM-STORE ............................................................................. ;; MONTEZUMA::TEST-FS-STORE ............................................................................. ;; MONTEZUMA::TEST-STANDARD-FIELD ........... ; ...Run individual tests (or test fixtures): CL-USER> (montezuma::run-test-named 'montezuma::test-segment-info) ;; MONTEZUMA::TEST-SEGMENT-INFO ......Development Strategy1. Make an initial hack & slash port of Ferret to Lisp. This is basically a transliteration of the Ruby code to Lisp. It might be ugly, it might not be idiomatic, but the goal is to get something working quickly. Unit tests will be ported as well. Some features may be left unimplemented (e.g., thread- and process-level locking). 2. Clean it up. Turn it into code that Lispers will enjoy. Craft a nice external API and let it out. A comprehensive library of unit tests will be critical to avoid breakage. 3. Tune performance and finish out the feature list. Once the code reaches a point where it is both adequately useful and adequately pretty, begin the process of attacking the the last 20%, which is a task that will presumably never be complete. Add benchmark tests, fix bugs, etc. Ideally I will find someone who thinks this is fun--and dump the project on them. We're somewhere between (2) and (3) now. Mailing list/Discussion GroupThere is a Montezuma discussion group/mailing list for users and developers alike. [Less]
Created about 1 year ago.

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An EASY TO USE search framework, that allows you to search items at an .NET object level and retrieve them. allows for simple setup and can start indexing and searching objects in seconds!
Created 10 months ago.