Graph Computing Training in Turin

SPARQL serves as the W3C-standard query language designed for retrieving and manipulating RDF data stored in triple stores and accessible via SPARQL endpoints.

This instructor-led, live training session (available online or onsite) targets beginner to intermediate participants eager to master practical SPARQL querying for data retrieval, transformation, and federation.

Upon completing this training, participants will be capable of:

• Developing both basic and advanced SPARQL SELECT queries to extract RDF data.
• Utilizing FILTER, OPTIONAL, and UNION clauses to refine query outcomes.
• Authoring CONSTRUCT and DESCRIBE queries to transform RDF graphs.
• Querying remote endpoints and executing federated queries using the SERVICE clause.

Course Format

• Interactive lectures and discussions.
• Practical exercises conducted against live SPARQL endpoints.
• Guided labs featuring sample RDF datasets and troubleshooting techniques.

Course Customization Options

• For a customized version tailored to your organization’s specific data model or preferred SPARQL endpoints, please contact us to make arrangements.

Apache Jena is an open-source Java framework designed for the creation of Semantic Web and Linked Data applications.

Through this instructor-led live training, attendees will acquire the skills necessary to build and deploy Semantic Web applications utilizing Apache Jena.

Upon completion of this training, participants will be capable of:

• Installing and configuring Apache Jena
• Converting and storing data in RDF format
• Querying RDF data using SPARQL
• Testing and deploying semantic web applications

Audience

• Developers
• Data Engineers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• To request customized training for this course, please contact us to arrange it.

This instructor-led live training, available in Turin (online or on-site), is designed for technical professionals interested in querying RDF data stored in Semantic Web databases.

By the end of this training, participants will be able to:

• Understand the difference between semantic web data and relational data.
• Query public datasets based on Semantic Web standards.
• Model data for querying with SPARQL.
• Transition a website's data to semantic web linked data.
• Run SPARQL queries from within an existing application.

Clarifies the complete capabilities of Semantic MediaWiki, including structured semantic search, knowledge-graph querying, intelligent content navigation, and rich editing workflows integrated with the Semantic Web. The course covers essential techniques for linking data, constructing metadata-driven content systems, and developing smart collaboration platforms that enable teams to automate cataloging, reveal hidden connections, and revolutionize how organizations discover, manage, and share knowledge at scale across different domains.