OpenWebReader – A free Multi-user Web-based Feed aggregator

OpenWebReader is a PHP5, multi-user feed aggregator. It is designed for becoming a RIA and uses AJAX technology as main rich interface amplifyer.

OpenWebReader is a free software.

* Support for ATOM, RSS 0.92, RSS 1 (RDF), RSS 2 formats
* Import/export feeds in OPML format
* Multi-lingual interface (English and French at the moment), sober and fast, powered by AJAX
* Feeds tagging, with or without use of drag'n'drop
* Multi-users, two level of rights (user, administrator)
* Documented source code
* Support for OpenID authentification
* Full-text search
* OpenSearch compatible
* Gateway system with automatic authentication
* Mark some news easily into most spreaded services
* SSL support (HTTPS)
* Caching system (both templates and SQL results)
* E-tags support
* Feeds auto-dicovery
* 304 HTTP code status (not modified) support
* Favicons support (requires Imagick if you want to validate the ic

DLFP: Solr 1.4 est de sortie

Après plus d'un an depuis la dernière version stable, Solr 1.4 est finalement disponible depuis hier en téléchargement.

Les améliorations sont nombreuses, tant au niveau de l'optimisation des performances que du point de vue fonctionnel. Au menu de cette version toute fraîche, on trouvera entre autre :

* Meilleure intégration aux SGBD grâce au gestionnaire d'import de données ;
* Possibilités d'indexation de documents externes (Word, OOo, PDF, HTML, etc.) grâce au projet Apache Tika ;
* Clustering dynamique de résultats de recherche avec Carrot2 ;
* Une tonne d'améliorations, de nouveaux greffons et de corrections de bugs ;

La liste des améliorations est vraiment très importante. Les intéressés auront tout intérêt à consulter le CHANGELOG complet.

Pour rappel, Lucene est une bibliothèque de recherche full-text écrite en Java et gérée par le projet Apache. Solr utilise Lucene pour proposer les fonctionnalités d'un moteur de recherche de qualité professionnelle (reche

[#SOLR-1163] Solr Explorer – A generic GWT client for Solr – ASF JIRA

# Simple query search
# Sorting – one can dynamically define new sort criterias
# Search results are rendered very much like Google search results are rendered. It is also possible to view all stored field values for every hit.
# Custom hit rendering – It is possible to show thumbnails (images) per hit and also customize a view for a hit based on html templates
# Faceting – one can dynamically define field and query facets via the UI. it is also possible to pre-configure these facets in the configuration file.
# Highlighting – you can dynamically configure highlighting. it can also be pre-configured in the configuration file
# Spellchecking – you can dynamically configure spell checking. Can also be done in the configuration file. Supports collation. It is also possible to send "build" and "reload" commands.
# Data import handler – if used, it is possible to send a "full-import" and "status" command ("delta-import" is not implemented yet, but it's easy to add)
# Console – For developme


Le projet Coclico vise à redynamiser les communautés de forges logicielles en structurant un écosystème libre pour lequel il existe une masse critique d’acteurs en France. La dynamique de développement des plate-formes de forges est aujourd’hui un enjeu clé pour répondre aux problématiques que doivent gérer les entreprises en termes de développement collaboratif et distribué.

Le projet travaillera autour de plusieurs axes: l’échange d’informations entre les forges, la confidentialité et l’intégrité des informations, le support de méthodes d'ingénierie logicielle, un modèle d'intégration ouvert, etc. Tous les résultats seront disponibles en open source et reversés dans la communauté FusionForge pour maximiser l'impact international des travaux.

Scaling Lucene and Solr | Enterprise Search support for Apache Lucene and Solr by Lucid Imagination

While many Lucene/Solr applications will never outgrow a single, well-configured machine, the fact is, more and more applications are pushing beyond the single machine limit due to either index size or query volume. In discussing Lucene and Solr best practices for performance and scaling, Mark Miller explains how to get the most out of a single machine, as well as how to scale out to harness multiple machines to handle large indexes, large query volume, or both.

DRAFT: Open Publication Distribution System

This document describes the Open Publication Distribution System (OPDS) an application of the Atom Syndication Format intended to enable content creators and distributors to distribute digital books via a simple catalog format. This format is designed works interoperably across multiple desktop and device software programs for acquiring and consuming eBooks ("Reading Systems"). The focus of this document is to outline the requirements for preparing catalogs for use by compatible Reading Systems; formal compliance requirements for Reading Systems will be documented elsewhere. This application of Atom was initially defined and implemented by Lexcycle for the Stanza application.

Why Faceted Navigation is Hard

I was thinking about the relational model today, and I realized that a lot of people probably don't realize that faceted navigation is an example of an application that simply doesn't fit comfortably in the relational model. It also occurs to me that most of you don't care. But I'm going to tell you why anyway.

Faceted navigation is built on faceted classification, which is conceptually very simple. You've got two things: records and categories, and those two things have a many-to-many relationship.

I like to work with concrete examples, so let's take the US states as our dataset. We've got one record for each state. For our categories, let's use adjacent states. That means Massachusetts has the following categories: adjoins-NH, adjoins-VT, adjoins-CT, adjoins-RI, and adjoins-NY. Obviously there are a lot of states that belong to the adjoins-NY category: Pennsylvania, New Jersey, Connecticut, Massachusetts, and Vermont. So clearly this is many-to-many. That's faceted classification.

RDF Aggregates and Full Text Search on Steroids with Solr at Frederick Giasson’s Weblog

The idea is to use the RDF data model and a triples store to populate the Solr schema index. We leverage the powerful and flexible data representation framework (RDF), in conjunction with the piece of software that lets you do whatever you want with that data (Virtuoso), to feed a carefully tailored Solr schema index to optimally perform three things: full-text search, aggregates and filtering. Also, we want to leverage the ontologies used to describe this data to be able to infer things vis-à-vis these indexed resources in Solr. This leverage enables us to use inference on full-text search, aggregates and filtering, in Solr! This is quite important since you will be able to perform full text searches, filtered by types that are inferred!

Read It: Search User Interfaces

Search is an integral part of peoples' online lives; people turn to search engines for help with a wide range of needs and desires, from satisfying idle curiousity to finding life-saving health remedies, from learning about medieval art history to finding video game solutions and pop music lyrics. Web search engines are now the second most frequently used online computer application, after email. Not long ago, most software applications did not contain a search module. Today, search is fully integrated into operating systems and is viewed as an essential part of most information systems.

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