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Linked Data

Linked Data
An introductory overview of Linked Open Data in the context of cultural institutions. In computing, linked data (often capitalized as Linked Data) describes a method of publishing structured data so that it can be interlinked and become more useful. It builds upon standard Web technologies such as HTTP, RDF and URIs, but rather than using them to serve web pages for human readers, it extends them to share information in a way that can be read automatically by computers. This enables data from different sources to be connected and queried.[1] Tim Berners-Lee, director of the World Wide Web Consortium, coined the term in a design note discussing issues around the Semantic Web project.[2] Principles[edit] Tim Berners-Lee outlined four principles of linked data in his Design Issues: Linked Data note,[2] paraphrased along the following lines: All kinds of conceptual things, they have names now that start with HTTP.I get important information back. Components[edit] European Union Projects[edit]

Linked Data | Linked Data - Connect Distributed Data across the Web 2.0 Un article de Wikipédia, l'encyclopédie libre. Cartographie sensible du web 2.0 L'expression « Web 2.0 » désigne l'ensemble des techniques, des fonctionnalités et des usages du World Wide Web qui ont suivi la forme originelle du web[1]. Elle concerne en particulier les interfaces permettant aux internautes ayant peu de connaissances techniques de s'approprier de nouvelles fonctionnalités du web. Les internautes peuvent d'une part contribuer à l'échange d'informations et interagir (partager, échanger, etc.) de façon simple, à la fois au niveau du contenu et de la structure des pages, et d'autre part entre eux, créant notamment le Web social[2]. L'internaute devient, grâce aux outils mis à sa disposition, une personne active sur la toile. L'expression « Web 2.0 » utilisée par Dale Dougherty (en) en 2003, diffusée par Tim O'Reilly en 2004 et consolidée en 2005 avec l'exposé de position « What Is Web 2.0 »[3] s'est imposée à partir de 2007. Présentation[modifier | modifier le code]

FOAF (software) FOAF logo. FOAF is a descriptive vocabulary expressed using the Resource Description Framework (RDF) and the Web Ontology Language (OWL). Computers may use these FOAF profiles to find, for example, all people living in Europe, or to list all people both you and a friend of yours know.[1][2] This is accomplished by defining relationships between people. Each profile has a unique identifier (such as the person's e-mail addresses, a Jabber ID, or a URI of the homepage or weblog of the person), which is used when defining these relationships. Tim Berners-Lee, in a 2007 essay,[3] redefined the Semantic web concept into the Giant Global Graph, where relationships transcend networks and documents. FOAF is one of the key components of the WebID specifications, in particular for the WebID+TLS protocol, which was formerly known as FOAF+SSL. The example shows PREFIX, but only "prefix" is acceptable Turtle syntax (upper case is produced by the wiki conversion of the text)!

LinkedData - W3C Wiki LinkedData is to spreadsheets and databases what the Web of hypertext documents is to word processor files. Use URIs as names for things Use HTTP URIs so that people can look up those names. When someone looks up a URI, provide useful information. Include links to other URIs. so that they can discover more things groupage cargo service. Linked Data Presentations: Writings: Workshop Series about Linked Data at the WWW conferences Other Workshops about Linked Data 1st International Workshop on Consuming Linked Data (COLD 2010) at ISWC 2010 Community: Examples of Linked Data: See DataSets Client side tools: Server side tools: by DanConnolly, Rob Crowell and TimBL Virtuoso - "Sponger" component of Virtuoso's SPARQL Engine, RDF Views of SQL, and the HTTP engine's Linked Data Deployment features D2R Server P2R - expose Prolog knowledge base as linked data (when bundled with UriSpace) SPARQL2XQuery - Bridging the Gab between the XML and the Semantic Web Worlds. Live Demos: Meetups:

Disco Hyperdata Browser The Disco - Hyperdata Browser is a simple browser for navigating the Semantic Web as an unbound set of data sources. The browser renders all information, that it can find on the Semantic Web about a specific resource, as an HTML page. This resource description contains hyperlinks that allow you to navigate between resources. News 04.03.2007: SemanticWebCentral provides another Linked Data browser called Objectviewer. 03.10.2007: OpenLink has published a new Data Web Browser which, like Disco, also enables you to browse Linked Data on the Web. 01.16.2007: Ivan Herman has written a Disco Bookmarklet. 1. The browser is a server-side application that can be used without installing anything on your machine. The screenshot below shows the browser user interface: You start browsing the Semantic Web by entering a URI into the navigation box. 2. The browser allows you to navigate an unbounded set of data sources. 3. The Semantic Web Client Library is multithreaded to allow faster retrieval. 4.

TaskForces/CommunityProjects/LinkingOpenData/DataSets - ESW Wiki SWEO Community Project: Linking Open Data on the Semantic Web This page collects RDF data sets that are part of the emerging Web of Linked Data. Please note: This page is outdated For keeping the LOD cloud diagram up to date, the Linking Open Data community effort has started to collect meta-information about Linked datasets on CKAN, a registry of open data and content packages provided by the Open Knowledge Foundation. The meta-information from CKAN (and not from this page) is used to draw the LOD cloud diagram and to maintain statistics about the size of the Web of Linked Data. The list of Linked Dataset for which we have already collected meta-information on CKAN is found here: CKAN LOD Group Basic statistics about these datasets are provided at: A guide on how to describe your dataset on CKAN is found here: LOD CKAN Guidlines Thus, if you are publishing a Linked Dataset, please add meta-information about your dataset to CKAN. Historic Version of this Page How big is this Web of Linked Data?

Boris Johnson to launch London 'Datastore' with hundreds of sets San Fransisco's public data at work on Photograph: PR The Mayor of London, Boris Johnson, will on Thursday launch a website hosting hundreds of sets of data - including previously unreleased information - about the capital, as part of a new scheme intended to encourage people to create "mashups" of data to boost the city's transparency and accountability. Channel 4 will also be offering up to £200,000 through its 4ip fund to help develop the most innovative uses of the data. To announce the site, Johnson will take part in a live linkup on Thursday to the Consumer Electronics Show in Las Vegas with President Barack Obama's chief technology officer Aneesh Chopra, who has overseen the development of the US government's "" project, which aims to put all US government data onto the web for others to use. The London Datastore, as it is called, will be fully open from 29 January.

How to publish Linked Data on the Web This document provides a tutorial on how to publish Linked Data on the Web. After a general overview of the concept of Linked Data, we describe several practical recipes for publishing information as Linked Data on the Web. This tutorial has been superseeded by the book Linked Data: Evolving the Web into a Global Data Space written by Tom Heath and Christian Bizer. This tutorial was published in 2007 and is still online for historical reasons. The Linked Data book was published in 2011 and provides a more detailed and up-to-date introduction into Linked Data. The goal of Linked Data is to enable people to share structured data on the Web as easily as they can share documents today. The term Linked Data was coined by Tim Berners-Lee in his Linked Data Web architecture note. Applying both principles leads to the creation of a data commons on the Web, a space where people and organizations can post and consume data about anything. This chapter describes the basic principles of Linked Data.

File:LOD Cloud Diagram as of September 2011.png About DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link the different data sets on the Web to Wikipedia data. We hope that this work will make it easier for the huge amount of information in Wikipedia to be used in some new interesting ways. Furthermore, it might inspire new mechanisms for navigating, linking, and improving the encyclopedia itself. Upcoming Events News Call for Ideas and Mentors for GSoC 2014 DBpedia + Spotlight joint proposal (please contribute within the next days)We started to draft a document for submission at Google Summer of Code 2014: are still in need of ideas and mentors. The DBpedia Knowledge Base Knowledge bases are playing an increasingly important role in enhancing the intelligence of Web and enterprise search and in supporting information integration. Within the

L’Entreprise 2.0 démystifiée « La consultation et la gestion de J’ai récemment terminé la lecture du livre Enterprise2.0 de Andrew McAffee et je vous le recommande fortement. C’est un livre bien écrit et simple qui explique clairement et démystifie ce qu’est l’entreprise 2.0 (Ent2.0). Voici ce que j’en ai retenu ainsi que mon opinion… L’Entreprise 2.0 se définit comme étant l’utilisation par une entreprise de Plateforme Applicative Sociale Émergente (traduction libre de Emergent Social Software Plaforms – ESSP), dans la poursuite de ses objectifs. Oui et non. En premier lieu parce que bien que la définition mette l’emphase sur une l’utilisation d’une nouvelle technologie, le phénomène de l’entreprise 2.0 ne se limitent pas à sa dimension technologique. Concrètement, l’Ent2.0 c’est donc l’utilisation de blogues, de Wiki, d’application de microblogage (Twitter) et d’application de réseautage sociaux (Social Networking Software – SNS) dans le cadre des activités d’une entreprise. Les bénéfices de l’Ent2.o sont les suivants : La rédaction en groupe.

Linked Data - Design Issues Up to Design Issues The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext, where links are relationships anchors in hypertext documents written in HTML, for data they links between arbitrary things described by RDF,. Use URIs as names for things Use HTTP URIs so that people can look up those names. Simple. The four rules I'll refer to the steps above as rules, but they are expectations of behavior. The first rule, to identify things with URIs, is pretty much understood by most people doing semantic web technology. The second rule, to use HTTP URIs, is also widely understood. The basic format here for RDF/XML, with its popular alternative serialization N3 (or Turtle). Basic web look-up or in RDF/XML