Graph Computing Training in Curitiba

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 developing Semantic Web and Linked Data applications.

In this instructor-led live training, participants will learn how to utilize Apache Jena to construct and deploy Semantic Web applications.

By the end 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

Format of the Course

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Note

• To request customized training for this course, please contact us to arrange.

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

Upon completing this training, participants will be equipped to:

• Differentiate between semantic web data and relational data.
• Query public datasets in accordance with Semantic Web standards.
• Structure data for efficient querying via SPARQL.
• Migrate a website's existing data to Semantic Web linked data.
• Execute SPARQL queries directly from within existing applications.

This module demystifies the extensive capabilities of Semantic MediaWiki, covering structured semantic search, knowledge-graph querying, intelligent content navigation, and rich editing workflows integrated with the Semantic Web. It explores essential techniques for linking data, constructing metadata-driven content systems, and developing smart collaboration platforms. These tools enable teams to automate cataloging, uncover hidden relationships, and revolutionize how organizations discover, manage, and share knowledge at scale across various domains.