Demos about SPARQL
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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.
Intervenants
Thèmes
Notice
Documentation
Liens
CORESE The Corese software
Gephi and Corese combined to visualize graphsdevelopped in the Wimmics team
QAKIS: a question-answering serviceimplements RDF
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6. Results and UpdateGandonFabienFaron-ZuckerCatherineCorbyOlivier
In the last part, we will see the result format and Update query. The format of SPARQL query results are also standardized by the
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3.Filter, Constraint and FunctionGandonFabienFaron-ZuckerCatherineCorbyOlivier
In the third part, we will see the filters, constraints and functions. It is possible to filter the results of query using
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4. Pre and Post ProcessingGandonFabienFaron-ZuckerCatherineCorbyOlivier
In the fourth part, we will see the pre and post processing of a SPARQL query. An RDF dataset is composed of a default graph
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2. StatementsGandonFabienFaron-ZuckerCatherineCorbyOlivier
This video présents the SPARQL Statements. The first statement is the optional pattern. It enables to specify a part of a graph pattern that is
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5. Several Query FormsGandonFabienFaron-ZuckerCatherineCorbyOlivier
In the fifth part, we will see several query forms. Until now, we have seen the select where SPARQL query form but there are
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1. RDF Graph Pattern MatchingGandonFabienFaron-ZuckerCatherineCorbyOlivier
This third part presents the SPARQL (pronounced sparkle) Query Language that enables users to query RDF triple stores. The SPARQL query language enables us to access data
Avec les mêmes intervenants
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Demos about Integration with Other Data Formats and SourcesGandonFabienFaron-ZuckerCatherineCorbyOlivier
Augmenting Web browser with data in the pages This demonstration show an extension to the browser called Operator. This extension allows the browser to actually look at the data inside the page
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Conclusion of the MOOC Introduction to a Web of Linked DataGandonFabienFaron-ZuckerCatherineCorbyOlivier
This video gives a summary of all the notions that have been presented in the 4 parts of the MOOC Introduction to a Web of Linked Data. We saw that we can use HTTP URIs to
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6. LDP : a REST API to linked dataGandonFabienFaron-ZuckerCatherineCorbyOlivier
This part is about the Linked Data Platform standard which provides the REST API to link data. This is a set of standardized HTTP and RDF
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5. R2RML: integration with databasesGandonFabienFaron-ZuckerCatherineCorbyOlivier
R2RML allows us to integrate data from databases into RDF. There are two ways of transforming a relational database into RDF using R2RML.
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4. Tabular data and metadata (CSV)GandonFabienFaron-ZuckerCatherineCorbyOlivier
We are going to see how we can transform tabular data and metadata into RDF. These data are extremely common; they are generated by
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3. JSON-LD: JSON syntax for RDFGandonFabienFaron-ZuckerCatherineCorbyOlivier
JSON-LD is a JSON syntax for RDF. JSON stands for JavaScript Object Notation. It is a hierarchical structure of name-value pairs. It is
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2. GRDDL: extract RDF from X(HT)MLGandonFabienFaron-ZuckerCatherineCorbyOlivier
GRDDL is a mechanism to extract RDF from XML and HTML. GRDDL is an algorithmic alternative to RDFa. It means Gleaning Resource
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1. RDFa: an RDF syntax inside HTMLGandonFabienFaron-ZuckerCatherineCorbyOlivier
The idea of the integration of the web of linked data with other data formats and sources is determined by the fact that the Web is evolving towards all forms of
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3.Filter, Constraint and FunctionGandonFabienFaron-ZuckerCatherineCorbyOlivier
In the third part, we will see the filters, constraints and functions. It is possible to filter the results of query using
-
4. Pre and Post ProcessingGandonFabienFaron-ZuckerCatherineCorbyOlivier
In the fourth part, we will see the pre and post processing of a SPARQL query. An RDF dataset is composed of a default graph
-
6. Results and UpdateGandonFabienFaron-ZuckerCatherineCorbyOlivier
In the last part, we will see the result format and Update query. The format of SPARQL query results are also standardized by the
-
2. StatementsGandonFabienFaron-ZuckerCatherineCorbyOlivier
This video présents the SPARQL Statements. The first statement is the optional pattern. It enables to specify a part of a graph pattern that is
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