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Les ontologies et la représentation des connaissances. Dans mon article précédent, que vous pouvez voir ici, j'avais très vite introduit la notion d'ontologie mais pas assez pour savoir réellement ce que cela peut être.

Les ontologies et la représentation des connaissances

Nous allons donc ici voir beaucoup plus en détail ce que peut être une ontologie avec un domaine que l'on nomme la représentation des connaissances. Je vous conseil donc avant de lire cet article de lire le précédent. La représentation des connaissances est un système définissant une série de classes et une série de propriétés qui relient les classes. On peut aussi voir ça comme une algèbre : on a des éléments entre lesquels on définit des opérations.

Petit rappel supplémentaire dans le domaine du Web sémantique, un concept correspond à une classe et une relation correspond à une propriété. Dans mon article précédent je m'étais arrêté sur le fait qu'il était possible de faire de la recherche de données basée sur des connaissances. Admettons que nous ayons les assertions suivantes : Tout ceci forme une ontologie. IV-A. Paris Sémantique. BauDataWeb: The European Building and Construction Materials Database for the Semantic Web. Le Web sémantique s'étend sur le poste de travail : Web sémantique : quand le Web devient données. Reposant pourtant sur une architecture 100% Web, comme nous avons pu le voir dans notre dossier, le Web sémantique et les technologies qui le motorisent trouvent des débouchés au sein d’environnements moins distribués.

Le Web sémantique s'étend sur le poste de travail : Web sémantique : quand le Web devient données

Si l’ontologie peut notamment être utilisée pour décrire des processus métiers dans les entreprises, pour orchestrer l’automatisation de la gestion de la connaissance, à un degré moindre, on peut également retrouver le principe sur le poste de travail. C’est notamment le cas avec le projet Nepomuk (pour Networked Environment for Personal Ontology-based Management of Unified Knowledge). Un projet de longue date auquel Mandriva, auprès de Thalès, SAP, HP et IBM pour ne citer qu’eux, a participé depuis son lancement en 2006. L’éditeur Open Source a publié le premier prototype d’implémentation Nepomuk avec la version 2010 de sa distribution Linux (Mandriva 2010, donc au sein du bureau KDE).

Agreement between DCMI and the FOAF Project. The Dublin Core Metadata Initiative (DCMI) is an open organization, incorporated in Singapore as a public, not-for-profit Company limited by Guarantee (registration number 200823602C), engaged in the development of interoperable metadata standards that support a broad range of purposes and business models.

Agreement between DCMI and the FOAF Project

La sémantique affine le référencement de produits sur les moteurs. Utiliser des solutions de contextualisation et un système d'agrégation des différentes fiches proposées par les marchands sur un article permet aux moteurs d'afficher des informations plus précises et en temps réel.

La sémantique affine le référencement de produits sur les moteurs

La croissance de l'offre de produits sur les sites marchands représente un défi pour les moteurs de recherche comme Yahoo! Shopping, Google Product Search ou encore Bing Shopping : ils doivent identifier et référencer toujours plus d'articles dans leur base. Or les fiches produites n'ont pas forcément le même niveau de détails en fonction de chaque site marchand. Pour répondre à ce problème qui limite souvent la mise à jour en temps réel des données sur les moteurs de recherche, des chercheurs américains* ont mis en place une méthode automatique basée sur la sémantique, qui récupère les données sur le produit éditées sur chaque site et les structure pour sa propre base. Evolution Towards Web 3.0: The Semantic Web. Découvrez Fise, un moteur sémantique Open-Source ! L'Europe se dote de son moteur sémantique : Fise. FISE - IKS Project. SparqlImplementations - W3C Wiki. Showcase — HTSQL documentation.

HTSQL was created in 2005 to provide an XPath-like HTTP interface to PostgreSQL for client-side XSLT screens and reports.

Showcase — HTSQL documentation

HTSQL found its audience when analysts and researchers bypassed the user interface and started to use URLs directly. The language has evolved since then. 10 Rules for Succeeding in a Web 3.0 World. Reid Hoffman Previous Internet Eras Web 1.0 - Web 1.0 was an era of low bandwidth.

10 Rules for Succeeding in a Web 3.0 World

Example.php - Sparql Query Builder. SPARQL, comment illuminer vos mashups en consommant les données du Linked Data ? Open W3C-standards like SKOS provide a great chance to combine corporate information with Internet-based resources - PoolParty. Dr.

Open W3C-standards like SKOS provide a great chance to combine corporate information with Internet-based resources - PoolParty

Horst Baumgarten has worked for Roche for almost 25 years. He was head of Information Management at Roche Professional Diagnostics for 15 years and has become head of Scientific Information Technologies in 2010. His “mantra” is simple: “I want to support my colleagues at Roche to more easily find the needed information for their daily work”. Baumgarten is convinced, that the general data access problem can no longer be solved with the help of traditional approaches.

Instead, he started to implement semantic technologies at Roche. 20110307HabilTalk.pdf (Objet application/pdf) Community Network Blogs. After working for 2 ½ years in the research project Aletheia (see my last blog entry), I am now working in the research project CUBIST and will use this blog to inform you about this project.

Community Network Blogs

So let me introduce CUBIST with its description from the CUBIST homepage. What is CUBIST about? Constantly growing amounts of data and an emerging trend of incorporating unstructured data into analytics is bringing new challenges to Business Intelligence (BI). Contemporary BI solutions fall short in the following aspects: First, they focus only on structured data and disregard the increasing amount of information hidden in unstructured data. Secondly, BI users dealing with increasingly complex analyses, but the complexity of BI tools becomes the biggest barrier to their success.

Adresses URI sympas pour le Web sémantique. Placebook – L’analyse géostatistique de Facebook et de votre profil. Take your jumbled mess of feeds and make them one. Construire une infrastructure numérique pour les SHS : Participer à ISIDORE et à la construction du web de données. Web 3.0: Powering Startups to Become Smartups. If you are a Web-based technology startup focused on the 2.0 version of the Web (a.k.a.

Web 3.0: Powering Startups to Become Smartups

Web 2.0), then you are not thinking outside of the box anymore. The Web is constantly evolving: innovating and implementing new technologies; adapting in a more timely manner to user feedback and needs; redefining the roles of business partners; and pushing the boundaries of what is possible. This is the first article in my four-part series about powering startups to become smartups. You can find the timeline for future installments of my series at the end of this article. If you’re still beating the Web 2.0 drum then you are not thinking outside the box. An Introduction to Linked Data. Seth Grimes's Tweet on the Sandro Hawke's video presentation caught my attention.

An Introduction to Linked Data

The presentation, entitled An Introduction to Linked Data, was recorded in June 8, 2010 at the Cambridge Semantic Web Gathering, occurred at Massachusetts Institute of Technology(MIT) in Cambridge, MA. Sandro works at World Wide Web Consortium, an international community where Member organizations, a full-time staff, and the public work together to develop Web standards. From a Summary: "Although the first Semantic Web standards are more than ten years old, only recently have we begun to actually see machines sharing data on the Web. The key turning point was the acceptance of the core Linked Data principle, that object identifiers should also work with Web protocols to access useful information.

This talk will cover the basic concepts and techniques of publishing and using Linked Data, assuming some familiarity with programming and the Web. SKOS and OWL 2 are Now Interoperable. In tech news, SKOS has been altered to interoperate with OWL 2. Up until now the two vocabularies haven’t been able to “play together nicely,” but thanks to a few simple tweaks to SKOS, they are now able to operate together smoothly. According to the article, “In the semantic Web, arguably SKOS is the right vocabulary for representing simple knowledge structures, and OWL 2 is the right language for asserting axioms and ontological relationships. In the early days we chose a reliance on SKOS for the UMBEL reference concept ontology, because of UMBEL’s natural role as a knowledge structure.” Simple changes to SKOS, fully explained in the article, have bridged the gap: “For UMBEL, and we think other vocabularies, the transition to OWL 2 is important for many reasons, including the ‘punning’ of individuals and classes.

Open LIDS (Linked Data Services) Implementing SPARQL 1.1 Query - first findings. I am currently in the middle of implementing SPARQL 1.1 Query Language into Sesame 2 (code can be found in Sesame's subversion repository, branch 2.4). The current working draft specifies a number of new features for SPARQL, and I will briefly make some points about the features I have implemented thus far, noting problems I encountered or where the current working draft was unclear to me. 1. Expressions in SELECT This new feature was fairly straightforward to implement, mainly as Sesame already had support for it in its query algebra. I only needed to adapt the parser. SPIN - SPARQL Inferencing Notation. SPIN - SPARQL Syntax. Abstract This document describes the SPIN SPARQL Syntax, an RDF representation of the semantic web query language SPARQL. The SPIN SPARQL Syntax provides an alternative representation of SPARQL queries that goes beyond the textual format. The main benefit of this syntax is that it makes it possible to consistently store SPARQL queries together with the domain model.

All resources from the domain model are represented as proper RDF resource references instead of only having them as strings. Having a triple-based SPARQL representation makes it easier to maintain hybrid models in which RDF/OWL definitions are mixed with SPARQL expressions. Data 3.0 (a Manifesto for Platform Agnostic Structured Data) Update 5. The Federated Enterprise (Using Semantic Technology Standards to Federate Information and to Enable Emergent Analytics) Photo Credits: Apple – FlickR/muffet ; Food Pyramid – FlickR/teacher_caroline_acsp [Editor's Note: This article is intended to complement the post, "I’ve got a Federated Bridge to Sell You (A Defense of the Warehouse)" by Rob Gonzalez (Cambridge Semantics). Here, Michael Lang, CEO & Founder of Revelytix, weighs in on the degree to which federating information using semantic technology could compete with the capabilities delivered by data warehouses.]

Getting Started with RDF and SPARQL Using 4store and RDF.rb. Updated to include some of Arto Bendicken’s recommendations. This post is a response to Richard Pope’s Linked Data/RDF/SPARQL Documentation Challenge. In it, he asks for documentation of the following steps: Install an RDF store from a package management system on a computer running either Apple’s OSX or Ubuntu Desktop. Le W3C monte au front. Un ascenseur pour vos données. Connect your Conversations - Silentale. OpenAmplify Injects Semantics Into Keyword Targeting Systems.

Open Data Protocol. Semantic Web Database Platform. Semantic data extractor - QA @ W3C. Does Linked Data need RDF ? Before going any further, let’s get a few things crystal clear; Fourre-tout personnel virtuel de Got. RealTimeSemanticWeb (rtsw)