Graph Computing Training in Varna

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 either online or onsite, targets participants ranging from beginner to intermediate skill levels who aim to master practical SPARQL querying for data retrieval, transformation, and federation.

After completing this training, participants will be capable of:

• Creating both basic and advanced SPARQL SELECT queries to extract RDF data.
• Utilizing FILTER, OPTIONAL, and UNION operators to refine query outcomes.
• Writing CONSTRUCT and DESCRIBE queries to modify RDF graphs.
• Querying remote endpoints and executing federated queries using the SERVICE keyword.

Course Format

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

Customization Options

• To request a tailored version of this course that focuses on your organization’s specific data model or preferred SPARQL endpoints, please contact us to arrange.

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

Through this instructor-led live training, participants will gain the skills to construct and deploy Semantic Web applications using 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 a semantic web application

Audience

• Developers
• Data Engineers

Format of the Course

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

Note

• For customized training options, please contact us to arrange.

This instructor-led, live training Varna (online or onsite) is designed for technical professionals 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.

Unveils the complete capabilities of Semantic MediaWiki, including structured semantic search, knowledge graph queries, and intuitive content navigation, alongside advanced editing workflows integrated with Semantic Web technologies. The course covers essential methods for connecting data, constructing metadata-centric content systems, and developing intelligent collaboration environments that enable teams to automate cataloging, reveal hidden relationships, and revolutionize how organizations discover, manage, and share knowledge at scale across diverse domains.