Linked Data Guide for Newbies - OpenOrg. Intended Audience This is intended to be a crash course for a techie/programmer who needs to learn the basics ASAP. It is not intended as an introduction for managers or policy makers (I suggest looking at Tim Berners-Lee's TED talks if you want the executive summary). It's primarily aimed at people who're tasked with creating RDF and don't have time to faff around. It will also be useful to people who want to work with RDF data. RDF is a data structure perfect for people creating mash-ups! Please Feedback-- especially if something doesn't make sense!!!! If you are new to RDF/Linked Data then you can help me! I put a fair bit of effort into writing this, but I am too familar with the field!
If you are learning for the first time and something in this guide isn't explained very well, please drop me a line so I can improve it. cjg@ecs.soton.ac.uk Warning Some things in this guide are deliberately over-simplified. Alternatives (suggest more!) Structure Tree data: (JSON, XML.) Graph data: (RDF). RDFa. SPARQL Query Language for RDF. W3C Recommendation 15 January 2008 New Version Available: SPARQL 1.1 (Document Status Update, 26 March 2013) The SPARQL Working Group has produced a W3C Recommendation for a new version of SPARQL which adds features to this 2008 version. Please see SPARQL 1.1 Overview for an introduction to SPARQL 1.1 and a guide to the SPARQL 1.1 document set. This version: Latest version: Previous version: Editors: Eric Prud'hommeaux, W3C <eric@w3.org> Andy Seaborne, Hewlett-Packard Laboratories, Bristol <andy.seaborne@hp.com> Please refer to the errata for this document, which may include some normative corrections.
See also translations. Copyright © 2006-2007 W3C® (MIT, ERCIM, Keio), All Rights Reserved. Abstract RDF is a directed, labeled graph data format for representing information in the Web. Status of This Document This is a W3C Recommendation. Appendices ? ? ? ? Build Your Own NYT Linked Data Application. Now that we’ve published nearly 10,000 of our tags as Linked Open Data, you’re probably wondering what kind of cool applications you can build with this data. To help you get started (and since linked data applications are a little different from your average Web application), we thought we’d provide a sample application and detailed information about how we built it.
Our sample application, “Who Went Where,” lets you explore recent Times coverage of the alumni of a specified college or university. The Who Went Where application (click for larger image) You can find the application here and beautified source code here. Before we dive into the source, let’s take a high-level look at the application’s control (which is fairly straightforward). Wait! Linked data? Linked Data: The idea behind linked data is super simple.
DBpedia: Have you ever noticed those handy little info boxes on certain Wikipedia articles? Step-by-Step to Your Own NYT Linked Data Application Find an alumnus (? That’s It? Semantic web tutorial: RDF, RDFS and SPARQL using CORESE. These pages are deprecated ; please go to the pages of our new team Edelweiss updated 17/04/2007 For remarks or questions on this tutorial contact Fabien Gandon This semantic web tutorial gives a quick tour of RDF, RDFS, SPARQL and Rules. It was designed as a hand-on-keyboard introduction to the basics of RDF model, RDFS semantics for lightweight ontologies, OWL Lite semantics for lightweight ontologies, SPARQL query language for RDF graph bases and production rules for knowledge factorisation in semantic web annotation bases. TOC: RDFS intro, RDF/XML intro, SPARQL intro, Rules intro, OWL intro. This tutorial uses four files: a small ontology in RDFS: human_2007_04_17.rdfs a small set of annotations in RDF: human_2007_04_17.rdf a small set of rules : human_2007_04_17.rul a standalone version (2.3.0 or above) of the search engine Corese distributed as one executable ".jar" file.
A previous version of this tutorial (Corese V2.2.2) is available. Rapid reminder of the basics example 1: example 2: or. Langage d'interrogation SPARQL pour RDF. Résumé RDF est un format de données de graphe orienté et étiqueté pour représenter des informations dans le Web. Cette spécification définit la syntaxe et la sémantique du langage d'interrogation SPARQL pour RDF. SPARQL peut être utilisé pour exprimer des interrogations à travers diverses sources de données, que les données soient stockées nativement comme RDF ou vues comme du RDF via un logiciel médiateur (middleware).
SPARQL est capable de rechercher des motifs de graphe (graph patterns) obligatoires et optionnels ainsi que leurs conjonctions et leurs disjonctions. SPARQL gère également le test extensible des valeurs et la contrainte des interrogations par un graphe RDF source. Les résultats des interrogations SPARQL peuvent être des ensembles de résultats ou des graphes RDF. Statut de ce document Cette section décrit le statut de ce document au moment de sa publication. Ceci est une recommandation du W3C. Annexes 1 Introduction 1.1 Plan du document 1.2 Conventions du document Données :