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Conclusions In this paper we have presented SPARQL-DL as a query language for OWL-DL ontologies. SPARQL-DL is a step between RDF QLs that are too unstructured w. SPARQL-DL SPARQL Query for OWL-DL Evren Sirin1 and Bijan Parsia2 Clark Parsia LLC Washington DC evren clarkparsia.com Department of Computer Science University of Manchester UK bparsia cs. Supporting OWL 1. 1 Our formulation of SPARQL-DL is not strongly tied to any feature in OWL-DL and ...

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How to fill out sparql dl sparql query

To fill out a SPARQL-DL SPARQL query, follow these steps:

01

Start by identifying the knowledge graph or RDF dataset you want to query. This could be a public dataset or your own custom-built RDF graph.

02

Familiarize yourself with the ontology or schema of the RDF graph. SPARQL-DL queries depend on the underlying OWL ontology to define the reasoning capabilities and constraints.

03

Construct your query using the appropriate syntax. SPARQL-DL is an extension of SPARQL that includes additional expressive power for querying OWL ontologies. Ensure that your query conforms to the SPARQL-DL specification.

04

Specify the data patterns you are interested in querying. This includes the classes, properties, and individuals you want to retrieve from the knowledge graph.

05

Use SPARQL-DL reasoning features to infer additional triples based on the ontology. This can include class hierarchies, property restrictions, and other logical deductions.

06

Test and execute your SPARQL-DL query against the knowledge graph. You can use online SPARQL-DL query editors or software libraries that support SPARQL-DL querying.

Who needs a SPARQL-DL SPARQL query?

01

Researchers and academics working in the field of Semantic Web and ontology-based data integration may use SPARQL-DL queries to retrieve and reason over OWL ontologies.

02

Developers building applications that leverage knowledge graphs or RDF datasets may use SPARQL-DL queries to provide advanced querying capabilities and reasoning services to end-users.

03

Organizations or industries that rely on ontologies and knowledge representation can benefit from SPARQL-DL queries to extract valuable insights, perform complex analytics, and support decision-making processes.

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