Online Graph Computing Training in Malaysia

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.

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

In 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

• Blended approach comprising 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 Malaysia (online or onsite) is aimed at 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 comprehensive capabilities of Semantic MediaWiki, including structured semantic search, knowledge graph queries, smart content navigation, and advanced editing workflows integrated with the Semantic Web. The module covers essential methods for connecting data, developing metadata-based content systems, and establishing intelligent collaboration platforms. These tools enable teams to automate cataloging, reveal hidden relationships, and revolutionize how organizations discover, manage, and share knowledge across domains at scale.