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Semantic (web) Developers Guide to Semantic Web Toolkits for different Programming Languages. Abstract This guide collects links to Semantic Web toolkits for different programming languages and gives an overview about the features of each toolkit, the strength of the development effort and the toolkit's user community. Table of Contents This guide collects links to Semantic Web toolkits for different programming languages.

We evaluate for each toolkit: which features are offered (APIs, query languages, storage, reasoning support), the strength of the development effort (number of developers involved, latest release), the activity level of the toolkit's user community (number of downloads, active mailing list). Our current evaluation results are found below. Request for Support We are trying to keep this guide up-to-date. If you know about a toolkit that we have missed, it would be nice if you could send us a link. All hints are highly appreciated. Alternative Toolkit Lists Other, alternative toolkit lists are found at 2.2 Haskell 2.4 JavaScript 2.5 Common Lisp 2.6 .Net/Mono 2.9 Pike.

Apache Stanbol as testbed for Knowledge Management Course: BaMaNews Project. Hi everybody! We are Carlo and Umberto, students of Computer Science at the University of Bologna. We want to share our experience in developing a software project, named BaMaNews, during the course in Knowledge Management taught by Valentina Presutti. We have used Apache Stanbol, in particular the Topic Engine for the Enhancer component, in order to develop a new way of navigating newspaper websites. At the end of the post we provide a link to download our installation guide of the Topic Classification Engine.

What is Facet? In the original concept of faceted classification, there was the intention of creating a method of classification that would provide not only a library catalog for books consultation, but also a way to arrange the books on the shelves according to a suitable order that would allow users to locate directly the documents relevant for them. The facet is a particular aspect under which a topic can be treated. What is BaMaNews? Knowledge Management course and Apache Stanbol. Stanbol - Overview about Apache Stanbol (incubating) Apache Stanbol provides a set of reusable components for semantic content management.

It is important to note that Stanbol itself is NOT a semantic CMS. It extends existing CMSs with a number of semantic services. While Apache Stanbol was built with CMS in mind it can also be used for e.g. web applications (tag extraction and suggestions, text completion in search fields); 'smart' content workflows (using several Stanbol semantic engines chained together) or email routing based on extracted entities/topics; etc. Content Enhancement Extracting information from content is the most common use case for Apache Stanbol. The enhancements can be used to improve search and navigation. Detailed information on how to make use of the enhancement results returned by the Stanbol Enhancer are described in this usage scenario. Customize Enhancement Results Different application domains will have different needs for extracting entities from texts.

Multilinguality Knowledge Models and Reasoning. Documentation | GRefine RDF Extension. Web Semantique. Web Semantique. Web Semantique. Le tutoriel SPARQL. L'objectif de ce tutoriel SPARQL est de donner un cours rapide en SPARQL. Le tutoriel couvre les fonctionnalités majeures du langage de requête au travers d'exemples, mais ne vise pas à être complet. Si vous cherchez une courte introduction à SPARQL et Jena, essayez Recherche de données RDF avec SPARQL . SPARQL est un langage de requêtes et un protocole pour accéder au RDF conçu par le groupe de travail du W3C RDF Data Access . Comme un langage de requête, SPARQL est « orienté données » en ce sens qu'il interroge uniquement les informations détenues dans des modèles ; il n'y a pas d'inférence dans le langage de requête lui-même.

Commentez Tout d'abord, il faut être clair sur quelles données sont interrogées. Il est important de réaliser que ce sont les triplets qui importent, pas la sérialisation. On va commencer avec des données simples dans vc-db-1.rdf : ce fichier contient du RDF pour un certain nombre de descriptions vCard de personnes. Graphiquement, les données ressemblent à : II-A. ?