Graph Computing Training in Ostrava

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

This instructor-led live training, available both online and onsite, targets beginner to intermediate learners seeking to master practical SPARQL querying for data retrieval, transformation, and federation.

Upon completing this course, participants will be able to:

• Craft basic and advanced SPARQL SELECT queries to extract RDF data.
• Utilize FILTER, OPTIONAL, and UNION clauses to refine query outcomes.
• Develop CONSTRUCT and DESCRIBE queries to transform RDF graphs.
• Query remote endpoints and execute federated queries using the SERVICE clause.

Course Format

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

Course Customization Options

• For a customized version tailored to 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.

During this instructor-led live training, attendees will learn how to utilize Apache Jena to construct and deploy a Semantic Web Application.

By the conclusion of this training, participants will be capable of:

• Installing and setting up Apache Jena
• Converting and storing data in RDF format
• Querying RDF data using SPARQL
• Testing and deploying a semantic web application

Target Audience

• Developers
• Data Engineers

Course Format

• A combination 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 in Ostrava (online or onsite) is designed for technical professionals seeking to extract insights from RDF data stored within Semantic Web databases.

Upon completion of this training, participants will gain the ability to:

• Distinguish between Semantic Web data structures and relational data models.
• Execute queries against public datasets adhering to Semantic Web standards.
• Structure and model data effectively for SPARQL querying.
• Migrate website data into Semantic Web linked data formats.
• Execute SPARQL queries directly from within existing applications.

Unlocks the full potential of Semantic MediaWiki, covering structured semantic search, knowledge graph queries, and intelligent content navigation. Explores rich editing workflows integrated with the Semantic Web. Details core methods for linking data, constructing metadata-driven content systems, and building smart collaboration platforms that enable teams to automate cataloging, reveal hidden connections, and revolutionize how organizations discover, manage, and share knowledge at scale across various domains.