Online Graph Computing Training in India

SPARQL is the W3C-standard query language used to retrieve and manipulate RDF data from triple stores and SPARQL endpoints.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to learn 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.
• Use 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.

Format of the Course

• Interactive lecture and discussion.
• 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 organisation’s data model or specific SPARQL endpoints, please contact us to arrange.

This live, instructor-led training in India (online or onsite) is designed for technical professionals wishing to query RDF data stored in a Semantic Web database.

Upon completing this training, participants will be capable of:

• Grasping the distinctions between semantic web data and traditional relational data.
• Executing queries on public datasets in accordance with Semantic Web standards.
• Structuring data to facilitate SPARQL queries.
• Migrating a website's data to semantic linked data formats.
• Executing SPARQL queries directly from within an established application.

This course clarifies the extensive capabilities of Semantic MediaWiki, ranging from structured semantic search, knowledge graph queries, and intelligent content navigation to sophisticated editing workflows integrated with the Semantic Web. It explores essential methods for connecting data, developing metadata-centric content systems, and establishing intelligent 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.