Online Graph Computing Training in Kenya

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

This instructor-led training session, available either online or onsite, is tailored for beginner to intermediate participants seeking to master practical SPARQL querying for data retrieval, transformation, and federation.

After completing this training, participants will be equipped to:

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

Course Format

• Engaging lectures and interactive discussions.
• Practical exercises conducted on live SPARQL endpoints.
• Guided laboratory sessions involving sample RDF datasets and troubleshooting techniques.

Customization Options

• For a customized curriculum focused on your organization’s data model or specific SPARQL endpoints, please get in touch to make arrangements.

This instructor-led live training in Kenya (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.

Unveils the comprehensive capabilities of Semantic MediaWiki, including structured semantic search, knowledge graph queries, intelligent content navigation, and advanced editing workflows integrated with the Semantic Web. It explores essential methods for connecting data, constructing metadata-driven content frameworks, and developing smart collaboration environments. These tools enable teams to automate cataloging processes, reveal hidden relationships, and revolutionize how organizations discover, manage, and distribute knowledge on a large scale across various fields.