Graph Computing Training in Västra Götaland

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

This instructor-led live training, available online or onsite, is designed for participants at the beginner to intermediate level who wish to master practical SPARQL querying techniques for data retrieval, transformation, and federation.

Upon completing this training, participants will be capable of:

• Formulating basic and advanced SPARQL SELECT queries to retrieve RDF data.
• Utilising FILTER, OPTIONAL, and UNION operators to refine query outcomes.
• Writing CONSTRUCT and DESCRIBE queries to transform RDF graphs.
• Querying remote endpoints and executing federated queries using SERVICE.

Course Format

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

Customisation Options

• To request a bespoke version tailored to your organisation’s data model or specific SPARQL endpoints, please contact us to arrange.

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

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

Upon completion 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

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 make arrangements.

This instructor-led live training in Västra Götaland (online or on-site) is designed for technical professionals who want 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 guide unravels the comprehensive capabilities of Semantic MediaWiki, covering structured semantic search, knowledge-graph querying, intelligent content navigation, and enriched editing workflows integrated with the Semantic Web. It addresses foundational methods for connecting data, constructing metadata-driven content systems, and establishing smart collaboration platforms that enable teams to automate cataloging, reveal hidden relationships, and revolutionize how organizations discover, manage, and share knowledge at scale across various domains.