Online Graph Computing Training in Uzbekistan

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 beginner to intermediate participants eager to master practical SPARQL querying for data retrieval, transformation, and federation.

Upon completion of this training, participants will be able to:

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

Course Format

• Interactive lectures and discussions.
• Hands-on exercises against live SPARQL endpoints.
• Guided labs with sample RDF datasets and troubleshooting.

Course Customization Options

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

This instructor-led, live training in Uzbekistan (online or on-site) is intended for technical professionals who wish to query RDF data stored in a Semantic Web database.

Upon completing this training, participants will be able to:

• Understand the distinctions between semantic web data and relational data.
• Query public datasets based on Semantic Web standards.
• Model data for querying using SPARQL.
• Transition a website's data into semantic web linked data.
• Execute SPARQL queries directly from within an existing application.

Clarifies the comprehensive capabilities of Semantic MediaWiki, including structured semantic search, knowledge graph querying, smart content navigation, and advanced editing workflows integrated with the Semantic Web. It explores essential methods for connecting data, developing metadata-driven content platforms, and building intelligent collaboration tools that enable teams to automate cataloging, uncover hidden relationships, and enhance how organizations discover, manage, and share knowledge at scale across various domains.