What is Dbpedia SPARQL?

SPARQL (pronounced “sparkle” /ˈspɑːkəl/, a recursive acronym for SPARQL Protocol and RDF Query Language) is an RDF query language—that is, a semantic query language for databases—able to retrieve and manipulate data stored in Resource Description Framework (RDF) format.

What are SPARQL endpoints?

A SPARQL Endpoint is a Point of Presence on an HTTP network that’s capable of receiving and processing SPARQL Protocol requests. It is identified by a URL commonly referred to as a SPARQL Endpoint URL.

What is SPARQL used for?

SPARQL is a set of standards for graph databases published by the W3C, but the name is most often used to refer to the query language. As a query language, SPARQL can be used to add, remove and retrieve data from RDF-style graph databases.

Is SPARQL an API?

The SPARQL API is powered by a separate database (Virtuoso) which reflects the current state of the Europeana datasets as of July 2017. We are working on a monthly update for this endpoint so that it is kept in sync with the main Europeana APIs.

Is DBpedia a reliable source?

For the API availability, DBpedia is the most reliable; its SPARQL endpoind is roughly available at every time.

Is SPARQL open source?

See http://www.systap.com/bigdata.htm for more information about licensing. Support is available under both the open source and commercial license models. The SPARQL gem is a complete SPARQL 1.1 Query and Update implementation written in pure Ruby with a free and unencumbered public domain software license.

Is SPARQL a programming language?

SPARQL allows for a query to consist of triple patterns, conjunctions, disjunctions, and optional patterns. Implementations for multiple programming languages exist….SPARQL.

Developer W3C
First appeared 2008
Stable release 1.1 / 21 March 2013
Website www.w3.org/TR/sparql11-query/
Major implementations

What is an RDF document?

An RDF file is a document written in the Resource Description Framework (RDF) language, which is used to represent information about resources on the web. It contains information about a website in a structured format called metadata. RDF files may include a site map, an updates log, page descriptions, and keywords.

Is SPARQL like SQL?

SPARQL and SQL have very similar UNION and MINUS operators, which respectively add and remove solutions from a solution set.

What is optional SPARQL?

OPTIONAL is a binary operator that combines two graph patterns. The optional pattern is any group pattern and may involve any SPARQL pattern types. If the group matches, the solution is extended, if not, the original solution is given (q-opt3. rq).

What is DBpedia used for?

DBpedia (from “DB” for “database”) is a project aiming to extract structured content from the information created in the Wikipedia project. This structured information is made available on the World Wide Web.

What is DBpedia and why is it important?

DBpedia is a community project that creates and provides public access to critical structured data for what’s commonly referred to as the Linked Open Data Cloud. — Kingsley Idehen, What is DBpedia, and why is it important? DBpedia provides a globally accessible Knowledge Graph derived from Wikipedia content.

How to query DBpedia without knowing the ontology?

DBpedia can be easily queried both with and without a deep knowledge of the DBpedia ontology. We can start building a query by searching on language-tagged literal values that are the objects of rdfs:label properties:

How can I query DBpedia using query solution?

The most basic query example can take the form of a SELECT Query where the triple-pattern in the Query Body comprises a subject, predicate, and object, and the Query Solution projection size is here limited to 10 records presented in an HTML Table. DBpedia can be easily queried both with and without a deep knowledge of the DBpedia ontology.

How do I access DBpedia?

DBpedia is accessible through its public SPARQL query editor interface. Knowledge takes the form of a collection of RDF Triples, which structures data using a subject→predicate→object object model (basically, Entity→Attribute→Value model, plus the use of IRIs and URIs as identifiers).