Vidéo pédagogique
Notice
Langue :
Anglais
Crédits
Fabien Gandon (Intervention), Catherine Faron (Intervention), Olivier Corby (Intervention)
Conditions d'utilisation
Unless otherwise specified, the course material is provided under the Creative Commons License BY-NC-ND: the name of the author should always be mentioned; the user can exploit the work except in a commercial context; and he or she cannot make changes to the original work.
DOI : 10.60527/8a62-zw10
Citer cette ressource :
Fabien Gandon, Catherine Faron, Olivier Corby. Inria. (2016, 8 septembre). Demos about SPARQL , in 3. SPARQL Query Language. [Vidéo]. Canal-U. https://doi.org/10.60527/8a62-zw10. (Consultée le 29 mai 2024)

Demos about SPARQL

Réalisation : 8 septembre 2016 - Mise en ligne : 13 novembre 2018
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Descriptif

Flint, a SPARQL Query Editor

Editors are now available for SPARQL. We present the Flint structured editor which provides syntactic coloration. The editor proposes SPARQL keywords according to the context where you are in the query and guides the user, for example when writing prefixes.

+ 3 more demos  :

Corese : execute SPARQL queries

The Corese software, developped in the Wimmics team, implements RDF, RDFS, SPARQL 1.1 and enables users to execute SPARQL queries on RDF data.

Gephi and Corese to analyse data on the Web

Gephi and Corese combined to visualize graphs

While integrating CORESE and the  Gephi graph platform, Inria enabled this last one to query the Semantic Web to obtain and visualize data. This demo shows how the  "Semantic Web Import" plugin enabled us to integrate CORESE and Gephi to obtain and visualize linguistic links between most populated places in the world.

QAKIS : A question-answering service

QAKIS is a question answering service over the linked data of several DBpedia chapters (i.e. from several languages: English, French, German). It allows you to formulate a query in English and obtain a answer directly from the knowledge graph of DBpedia. To do this, QAKIS implements a method to translate a simple English question into a SPARQL query.

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