Projects tagged ‘lucene’ and ‘search’

Solr is an open source enterprise search server based on the Lucene Java search library, with XML/HTTP and JSON APIs, hit highlighting, faceted search, caching, replication, and a web administration ... [More] interface. It typically runs in a Java servlet container such as Tomcat. [Less]

Bongo is an easy-to-use mail and calendar system, offering a simple yet powerful user interface. The goal is to make sharing, organisation, and communication simpler, quicker, and more useful.

Hippo CMS is a user friendly and feature-rich Open Source Content Management System and comes with revision control, scheduling, search, multiple editors, workflow and a lot more. The open ... [More] architecture of Hippo CMS has the following advantages: * Based on open standards * Reuse of content * Separation of content, design, logic and the CMS system itself. * User friendly interface (AJAX) * Native XML, 100 % JAVA The Hippo CMS project was initiated, developed and is maintained by Hippo's development team. Hippo CMS is based on several proven open source projects, mainly from the Apache Software Foundation. [Less]

Compass is an open source project built on top of Lucene aiming at simplifying the integration of search into any Java application.

The Semantic Vectors PackageSemantic Vector indexes, created by applying a Random Projection algorithm to term-document matrices created using Apache Lucene. The package was created as part of a ... [More] project by the University of Pittsburgh Office of Technology Management, to explore the potential for automatically matching related concepts in the technology management domain, e.g., mapping new technologies to potentatially interested licensors. This project can be found at http://real.hsls.pitt.edu. The package creates a WordSpace model, of the kind developed by Stanford University's Infomap Project and other researchers during the 1990s and early 2000s. Such models are designed to represent words and documents in terms of underlying concepts, and as such can be used for many semantic (concept-aware) matching tasks such as automatic thesaurus generation, knowledge representation, and concept matching. The Semantic Vectors package uses a Random Projection algorithm, a form of automatic semantic analysis, similar to Latent Semantic Analysis (LSA) and its variants like Probabilistic Latent Semantic Analysis (PLSA). However, unlike other methods, Random Projection does not rely on the use of computationally intensive matrix decomposition algorithms like Singular Value Decomposition (SVD). This makes Random Projection a much more scalable technique in practice. Our application of Random Projection for Natural Language Processing (NLP) is descended from Pentti Kanerva's work on Sparse Distributed Memory, which in semantic analysis and text mining, this method has also been called Random Indexing. A growing number of researchers have applied Random Projection to NLP tasks, demonstrating: Semantic performance comparable with other forms of Latent Semantic Analysis. Significant computational performance advantages in creating and maintaining models. DocumentationJava API Documentation is at http://semanticvectors.googlecode.com/svn/trunk/doc/index.html. Installation help can be found in the InstallationInstructions. Help on using SemanticVectors for DocumentSearch. A page with links to more RelatedResearch. The package requires Apache Ant and Apache Lucene to have been installed, and the Lucene classes must be available in your CLASSPATH. User GroupIssues and bugs can be posted using the Issues tab above. More general questions and discussions may be posted at the group webpage, http://groups.google.com/group/semanticvectors. Originally written by Dominic Widdows, in collaboration with Kathleen Ferraro and the University of Pittsburgh. The project is now maintained and extended by a small group of developers, as listed in the SemanticVectors AUTHORS file. Projects Using Semantic VectorsWe're starting a list of ProjectsUsingSemanticVectors. We're aware of a few more that we'll try to add in due course: please visit this page and leave comments if you know of any. [Less]

This project is meant to create a JCA component used for providing Lucene services to J2EE components. Since Lucene accesses the filesystem directly, it's unsuitable for J2EE products, and this connector will rectify that.

A lucene extension to provide a geographical boundary to searching. The main design is to provide a 'local search' functionality to lucene and solr users

Find a needle in a text-file-haystack. Needlog is a tool that can perform complex search queries on text-files of any size. Needldog aims to be user-friendly, cross-platform, and blazingly fast. ... [More] This is the perfect tool for analyzing huge log-files. [Less]

php_solr is a lightweight php client library for the Lucene-based enterprise search server Apache Solr.

Marjory is a webservice for indexing and searching for documents, utilizing a full-text search engine. It is somewhat similar to Solr, but is written in PHP and the underlying architecture allows ... [More] for using search engines other than Lucene (no other adaptor is implemented yet, though). Marjory is based on the Zend Framework and uses Zend_Search_Lucene as the default search engine. Initial development was sponsored by Jimdo, a company offering web-based tools to create free websites. [Less]