Estadísticas de búsqueda de Google – Interés de Búsqueda en la Web: facebook, hi5, youtube, twitter, uaeh – Hidalgo México, Últimos 12 meses

octubre 4, 2010

vía Estadísticas de búsqueda de Google – Interés de Búsqueda en la Web: facebook, hi5, youtube, twitter, uaeh – Hidalgo México, Últimos 12 meses.


Universal Mccann International Social Media Research Wave 3

enero 6, 2010

Universal Mccann International Social Media Research Wave 3

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Universal Mccann International Social Media Research Wave 3.


Amaya Binary Releases

abril 16, 2009

Amaya is intended to be a comprehensive client environment for testing and evaluating new proposals for Web standards and formats. A large part of the intended features of Amaya are implemented in this release, but some of them are not complete yet.

Check out the list of new features.

The Amaya binary distribution is available for PC Linux, Windows (NT, XP, 2000) and Mac OS X. Users having other architectures are expected to compile the Amaya source code.

Release schedule

There are about three Amaya releases a year. Between each major release, we may generate patch releases or snapshots which fix important bugs.

Each time a new release is available, an email is sent to the www-amaya mailing list.

Getting the binary distribution

The binary distribution is available for a set of Windows, Linux and Mac OS X platforms.

desdeAmaya Binary Releases.


Semantic Web Use Cases and Case Studies: Twine

abril 6, 2009

Image representing Twine as depicted in CrunchBase
Image via CrunchBase

Jim Wissner Twine and Nova Spivack, Twine, USA

April 2009

Introduction

Twine helps people track, discover, and share content around topics they are interested in.

Twine is built on a semantic applications platform that combines W3C standards for RDF and OWL with natural-language processing, statistical analysis and graph analysis capabilities.

Twine is developed by Radar Networks, headquartered in San Francisco. Before developing Twine, Radar Networks had worked on the CALO Cognitive agent That Learns and Organizes project, a distributed research program focused on next-generation semantically-aware machine learning applications. The Twine product was initially shown in late 2007 and early 2008 and became publicly available in October 2008.

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