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How to publish Linked Data on the Web

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.

Related:  Ecosystème

Livre: Programming the Semantic Web Colophon The animal on the cover of Programming the Semantic Web is a red panda (Ailurus fulgens, or "shining cat"), named for its bright, cinnamon-colored fur. Its resemblance to other animals has given it many nicknames, including firefox, cat bear, and lesser panda. Although predominantly red, it has white markings on its face and a black belly and limbs. RDFa Primer We begin the introduction to RDFa by using a subset of all the possibilities called RDFa Lite 1.1 [rdfa-lite]. The goal, when defining that subset, was to define a set of possibilities that can be applied to most simple to moderate structured data markup tasks, without burdening the authors with additional complexities. Many Web authors will not need to use more than this minimal subset. 2.1.1 The First Steps: Adding Machine-Readable Hints to Web Pages Consider Alice, a blogger who publishes a mix of professional and personal articles at We will construct markup examples to illustrate how Alice can use RDFa. A more complete markup of these examples is available on a dedicated page.

Watson Semantic Web Search This is the Watson Web interface for searching ontologies and semantic documents using keywords. This interface is subject to frequent evolutions and improvements. If you want to share your opinion, suggest improvement or comment on the results, don't hesitate to contact us... At the moment, you can enter a set of keywords (e.g. "cat dog old_lady"), and obtain a list of URIs of semantic documents in which the keywords appear as identifiers or in literals of classes, properties, and individuals.

Minding The Planet I've often joked that it is ironic that a term that contains the word "semantic" has such an ambiguous meaning for most people. Most people just have no idea what this means, they have no context for it, it is not connected to their experience and knowledge. This is a problem that people who are deeply immersed in the trenches of the Semantic Web have not been able to solve adequately -- they have not found the words to communicate what they can clearly see, what they are working on, and why it matters for everyone. In this article I have tried, and hopefully succeeded, in providing a detailed introduction and context for the Semantic Web for non-technical people. But even technical people working in the field may find something of interest here as I piece together the fragments into a Big Picture and a vision for what might be called "Semantic Web 2.0."

RDFa, Drupal and a Practical Semantic Web In the march toward creating the semantic web, web content management systems such as Drupal (news, site) and many proprietary vendors struggle with the goal of emitting structured information that other sites and tools can usefully consume. There's a balance to be struck between human and machine utility, not to mention simplicity of instrumentation. With RDFa (see W3C proposal), software and web developers have the specification they need to know how to structure data in order to lend meaning both to machines and to humans, all in a single file. And from what we've seen recently, the Drupal community is making the best of it. Introducing RDFa RDFa is a set of XHTML attributes meant in particular to augment visual data with machine-readable hints.

SweoIG/TaskForces/CommunityProjects/LinkingOpenData - ESW Wiki News 2014-12-03: The 8th edition of the Linked Data on the Web workshop will take place at WWW2015 in Florence, Italy. The paper submission deadline for the workshop is 15 March, 2015. 2014-09-10: An updated version of the LOD Cloud diagram has been published. The new version contains 570 linked datasets which are connected by 2909 linksets. Linked Data – thermo view Though Linked Data (the set of principles) can be considered being around since roughly three years, the technologies it builds upon are around already considerable longer: two of the three core Linked Data technologies (URIs and HTTP) are some 20y old. And because I know that you’re at least as curious as I am ;) I thought it might be nice to sit down and capture a more complete picture: So, why a thermo-view?

Using Dublin Core - The Elements NOTE: This text was last revised in 2005. As of 2011, a completely revised User Guide is being developed at the wiki page DCMI's Glossary and FAQ are also under revision. This section lists each element by its full name and label. For each element there are guidelines to assist in creating metadata content, whether it is done "from scratch" or by converting an existing record in another format. Primer - Getting into the semantic web and RDF using N3 [translations into other languages ] The world of the semantic web, as based on RDF, is really simple at the base. This article shows you how to get started. It uses a simplified teaching language -- Notation 3 or N3 -- which is basically equivalent to RDF in its XML syntax, but easier to scribble when getting started. Subject, verb and object

Cross-media: Controlling your Language: a Directory of Metadata Vocabularies This directory provides details of more than 70 vocabulary sources. It categorises the various types of vocabularies available to us as Thesauri, Subject headings, Authority lists and Classification schemes. Thesauri, subject headings and word lists more generally, are used primarily in aiding retrieval, whereas Classification schemes help us to organise resources, and Authority Lists help us to standardise the expression of values used in our metadata, like, for example, the way we enter names and dates. Thinkmap SDK The Thinkmap SDK enables organizations to incorporate data-driven visualization technology into their enterprise Web applications. Thinkmap applications allow users to make sense of complex information in ways that traditional interfaces are incapable of. The Thinkmap SDK (v. 2.8) includes a set of out-of-the-box configurations for solving common visualization problems, as well as new visualization techniques for customizing data displays. We have designed Thinkmap to be lightweight, fast, easily extensible, and able to connect seamlessly to a wide variety of data sources.

Associative model of data The associative model of data is an alternative data model for database systems. Other data models, such as the relational model and the object data model, are record-based. These models involve encompassing attributes about a thing, such as a car, in a record structure. Such attributes might be registration, colour, make, model, etc. In the associative model, everything which has “discrete independent existence” is modeled as an entity, and relationships between them are modeled as associations.

Related:  Web SémantiqueLinked dataLinked DataSemantic Web