Published by Pablo Hermoso de Mendoza González
12/11/2012
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Next Web: web 3.0, web semántica y el futuro de internet
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In Next Web people explore and discuss on opportunities related to web 2.0, semantic web and semantic technologies applied to the web, Web 3.0 and, in general, evolution and future of the Internet.
The community discusses the future of the web and the way in which the set of technologies enabling internet will influence the development of the socio-digital life, the building of the digital identity of people and organizations, and the acceleration of learning social processes. All thanks to the exercise of simultaneous sociability and access to ubiquitous information and intelligence.
Companies, venture capitalists, institutions, researchers, professors, start-ups, bloggers, advanced internet users, internet activists and, on the whole, anybody who believes in the technology power of social transformation, have their new space in Next Web, a community promoted by the GNOSS Team.
Published by Pablo Hermoso de Mendoza González
12/11/2012
Categories
Published by Equipo GNOSS
02/08/2012
Pundit is a novel semantic annotation and augmentation tool. It enables users to create structured data while annotating web pages. Annotations span from simple comments to semantic links to web of data entities (as Freebase.com and Dbpedia.org), to fine granular cross-references and citations. Pundit can be configured to include custom controlled vocabularies. In other words, annotations can refer to precise entities and concepts as well as express precise relations among entities and contents. Pundit is designed to enable groups of users to share their annotations and collaboratively create structured knowledge. Pundit has been developed by Semedia at Universita' Politecnica delle Marche within the SemLib EU project.
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Published by Equipo GNOSS
23/12/2009
Se trata de una de las numerosas aplicaciones construidas sobre la iniciativa DBPedia. Permite a los usuarios realizar consultas complejas contra la Wikipedia. Las respuestas a esas consultas no se generan comparando cadenas como hacen Google o Yahoo, sino basándose en información estructurada extraída de diferentes artículos de la Wikipedia.
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