Search Results for "document indexer"

COAR-DMS is document management system for 32/64 bit. linux. Acts as library, server and tools. Library features: - storage management, free pages recycling - transaction log - indexing: full text, tags, metadata, document attributes - inverted index - versioning, collaboration - document trees, trees versionning - folders - plugins for auth (PAM,LDAP), db, file types plugins - tags - metadata (key value pairs) - object level security, folders documents ACL, - unix like security (rwx), special authorities - from thousands to tens of billions of documents - dashboard (working copies, new documents) - electronic signs - search statement, syntax like SQL - multithreaded, multiprocess library, Servers: - native HTTP server (libmicrohttp) - SOAP server - WebDAV(planed) - Indexer Python API WebUI GWT, JSP, SOAP-API

...Support Chinese word segmentation (concurrent word segmentation using the sego word segmentation package, speed 27MB/sec). Support to calculate the proximity distance of keywords in the text (token proximity). When a request to add a document to the index comes in, the main coroutine will send the text to be segmented to a word segmentation coroutine through a channel, and the coroutine will segment the text and send it to a word segmentation through another channel. Indexer coroutines. The indexer coroutine builds an inverted index from the search keyword to the document, and the inverted index table is stored in memory for quick recall. ...

MongoLantern is an open source full text search server using MongoDB as index storage, which allows MongoLantern to migrate any changes very easily into account using MongoDB API. It's written originally written in PHP can be migrated to any desired language as required using it's future APIs. MongoLantern 0.7 - Stable/Production Release: 1. MongoLantern API support enabled. 2. CSV indexer added as a plugin. 3. node.js API client added.

Maui is a multi-purpose automatic topic indexing algorithm. Given a document, Maui automatically identifies its topics. Depending on the task topics are tags, keywords, keyphrases, vocabulary terms, descriptors or Wikipedia titles.

OpenOffice Search is a document indexer and search engine for OpenOffice documents. It is Java-based, so it will run on any J2SE enabled platform and uses an embedded Derby (Cloudscape) database.

Wordindex takes huge amounts of document type files (html, pdf, zip, text, ps, etc...) and full text indexes them. All data is stored in a MySQL database and a alpha web based search util has been written.