Projects tagged ‘java’ and ‘search’

Alfresco offers true Open Source Enterprise Content Management (ECM) - Document Management, Collaboration, Records Management, Knowledge Management, Web Content Management and Imaging.

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]

Nutch is a search engine based on Apache Lucene.

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]

Team Elements is a web-based collaborative workspace and project management application. Features include Wiki, Blog, Discussion Lists, Document Management, Planning, Issue Tracking, RSS and ... [More] Reporting. What sets Team Elements apart, is its detailed project-based permissions and indexing of all project and document data in an easy-to-search and easy-to-maintain environment. Much of the recent work has gone into rounding out the social networking capabilities for the parent product ConcourseConnect. The Team Elements code base is now integrated into ConcourseConnect and that should be used instead. [Less]

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

Hibernate Generic D.A.O. FrameworkThe motivation behind the frameworkWe had worked on a project where we hand-coded all of our DAOs. This produced four irksome difficulties: (1) Method names and ... [More] implementations were not altogether consistent. (2) It was a pain to make additional columns sortable or filterable, and as a result, a lot of pages lacked good sorting and filtering. (3) Making additional DAOs was tedious and took a fair amount of time. (4) Writing tests for DAOs is tricky and tedious, so no one really did. This framework aims to ease our troubles. Why might you consider looking into this framework?Generic DAO: With the sweetness of Java generics, the concept of generic DAOs is not new, and it’s not difficult. However, we’ve put a lot of work into making these easy to use an [Less]

Sourcerer: An infrastructure for large-scale source code analysis.

iRATE radio provides users with a powerful new way to find and download free, legal music online. Users rate tracks based on their tastes. The iRATE server then selects other tracks to send to the ... [More] user from a database of over 50,000 freely downloadable songs by correlating the user's ratings with other users', and finding people with similar tastes. Unlike streaming audio, iRATE saves the tracks to the user's hard drive. This means that playback is smoother, without the typical problems associated with streaming media, such as high bandwidth usage. [Less]

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]