Graph Computing Training in Leon

SPARQL serves as the W3C-standard query language for retrieving and manipulating RDF data from triple stores and SPARQL endpoints.

This instructor-led live training, available online or onsite, targets participants at a beginner to intermediate level who want to master practical SPARQL querying for data retrieval, transformation, and federation.

Upon completing this training, participants will be able to:

• Create basic and advanced SPARQL SELECT queries to retrieve RDF data.
• Employ FILTER, OPTIONAL, and UNION to refine query results.
• Write CONSTRUCT and DESCRIBE queries to transform RDF graphs.
• Query remote endpoints and execute federated queries using SERVICE.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises using live SPARQL endpoints.
• Guided labs featuring sample RDF datasets and troubleshooting scenarios.

Customization Options

• To request a customized version focusing on your organization’s data model or specific SPARQL endpoints, please contact us to make arrangements.

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

In this instructor-led live training, participants will learn how to utilize Apache Jena to build and deploy a Semantic Web application.

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

• Install and configure Apache Jena
• Convert and store data in RDF format
• Query RDF data using SPARQL
• Test and deploy a semantic web application

Audience

• Developers
• Data Engineers

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

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

This instructor-led, live training in Leon (online or onsite) is aimed at technical persons who wish to query RDF data stored in a Semantic Web database.

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.

This course clarifies the comprehensive capabilities of Semantic MediaWiki, ranging from structured semantic search, knowledge graph querying, and intelligent content navigation to sophisticated editing workflows integrated with the Semantic Web. It explores essential methods for connecting data, developing metadata-driven content systems, and designing collaborative platforms that enable teams to automate cataloging, reveal hidden relationships, and revolutionize how organizations discover, manage, and share knowledge at scale across various fields.