Libérons les données !
Il me parait tous les jours plus clair que nos amis les données veulent partir en vacance. Ce besoin de voyage est d’autant plus fort que le coût d’un trajet numérique Boston / Bangalore tend vers zéro. Et puis après tout, n’est ce pas dans notre nature de partager, copier, diffuser l’information ? Nous sommes des primates, nous apprenons par mimétisme. Je crois profondément que nous sommes à l’aube d’une ère nouvelle. Malheureusement (heureusement?) Le monde change vite, trop vite. Et dans tout ça. Pour compléter cet article j’ai republié cet excellent reportage: La discussion est ouverte. share
Linked Data: Evolving the Web into a Global Data Space
Semantic Web: Difficulties with the Classic Approach
Summary: The original vision of the semantic web as a layer on top of the current web, annotated in a way that computers can “understand,” is certainly grandiose and intriguing. Yet, for the past decade it has been a kind of academic exercise rather than a practical technology. This article explores why; and what we can do about it. Update: Part 2 is available nowTop-Down: A New Approach to the Semantic Web The semantic web is a vision pioneered by Sir Tim Berners-Lee, in which information is expressed in a language understood by computers. In essence, it is a layer on top of the current web that describes concepts and relationships, following strict rules of logic. The purpose of the semantic web is to enable computers to “understand” semantics the way humans do. But while the vision of a semantic web is powerful, it has been a over a decade in making. Classic Semantic Web Review The Technical Challenges 1. 2. 3. 4. The Scientific Challenges 1. 2. 3. The Business Challenges Conclusion
RDF - Semantic Web Standards
Overview RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”). This linking structure forms a directed, labeled graph, where the edges represent the named link between two resources, represented by the graph nodes. Recommended Reading The RDF 1.1 specification consists of a suite of W3C Recommendations and Working Group Notes, published in 2014. A number of textbooks have been published on RDF and on Semantic Web in general. Discussions on a possible next version of RDF W3C has recently set up a new RDF Working Group, whose charter is to make a minor revision of RDF. Last modified and/or added All relevant tools
Top-Down: A New Approach to the Semantic Web
Earlier this week we wrote about the classic approach to the semantic web and the difficulties with that approach. While the original vision of the layer on top of the current web, which annotates information in a way that is “understandable” by computers, is compelling; there are technical, scientific and business issues that have been difficult to address. One of the technical difficulties that we outlined was the bottom-up nature of the classic semantic web approach. As things stand today, there is little reason for web site owners to do that. But there are alternative approaches. In this post, we will look at the solution that we call the top-down approach to the semantic web, because instead of requiring developers to change or augment the web, this approach leverages and builds on top of current web as-is. Why Do We Need The Semantic Web? The complexity of original vision of the semantic web and lack of clear consumer benefits makes the whole project unrealistic. Conclusion
Virtuoso
Linked Data | Linked Data - Connect Distributed Data across the
Jena Semantic Web Framework
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QuickStartGuide - Common Tag
From Common Tag Common Tags are defined using RDFa, a standard format for expressing structured data within HTML. This guide was designed to help you get started using the Common Tag format even if you don't know RDFa. The examples can be used as simple cut-and-paste recipes to tag your content using the Common Tag format. Common Tags are not only useful for identifying the concepts covered in your content, but if you reference content elsewhere on the web, Common Tags can be used to indicate the concepts covered in that external content as well. This is useful for better describing and organizing the content of external resources from within your own content. The Common Tag format uses the URIs of concepts defined on the web as a way of anchoring the meaning of Tag objects (Tags). The two databases of structured content used in the examples below are: Freebase - A community managed database of concepts DBPedia - A machine readable version of Wikipedia Tagging whole documents
Home - Common Tag
Scribo
Un article de Wikipédia, l'encyclopédie libre. Objectif[modifier | modifier le code] L'objectif est de proposer des algorithmes et outils libres pour l'annotation semi-automatique et collaborative de documents numériques. L'approche est fondée sur l'extraction de connaissances à partir de textes et d'images. Financement[modifier | modifier le code] Le projet est financé par l'État et les collectivités territoriales franciliennes dans le cadre du 5e appel à projets lancé par le fonds de compétitivité des entreprises (FCE). Participants au projet[modifier | modifier le code] Retombées[modifier | modifier le code] Les composants réalisés seront intégrés dans les suites logicielles respectives des éditeurs Nuxeo, Proxem et XWiki. L'ensemble des développements effectués dans le cadre du projet sera disponible sous licence libre compatible GNU LGPL. Sites web[modifier | modifier le code] Partenaires : Portail de l’informatique
Sysomos | Business Intelligence for Social Media
Sysomos offers two products, Heartbeat and Media Analysis Platform (MAP), to customers looking for leading-edge social media analytics services. Although Heartbeat and MAP are based on the same underlying technology, they provide different features to meet the needs of different users. Heartbeat is designed for day-to-day monitoring and measurement requirements, while MAP provides an in-depth research tool. Heartbeat: Real-time monitoring of brands and products, with measurable metrics and the ability to engage with key influencers. Heartbeat Pro: Monitoring, measurement, in-depth metrics, key influencers, detailed sentiment for advanced users, and the ability to engage with key influencers. Sysomos MAP: A full-feature analytics service with unlimited access to billions of social media conversations, as well features such as automated sentiment and geo-demographics. MAP is ideal for in-depth research, historical analysis, and the preparation of value-added reports.
MoodViews — MoodViews
