Apache Jena Training in Kuala Lumpur, Malaysia

This course introduces participants to Apache Jena, a popular open-source Java framework for building Semantic Web and Linked Data applications. The training covers RDF data modeling, ontology handling, SPARQL querying, and using Jena APIs to store, query, and integrate semantic data. Participants will also gain hands-on experience with Jena TDB and Fuseki for persistent storage and SPARQL endpoints.

Foundations and RDF with Jena

Module 1: Introduction to Apache Jena

• What is Apache Jena and its role in Semantic Web
• Overview of Jena architecture and components
• Setting up Jena environment

Module 2: Working with RDF Data

• RDF basics and graph representation in Jena
• Creating RDF models with Jena RDF API
• Reading and writing RDF in different formats
• Activity

Module 3: Ontologies with Jena Ontology API

• Introduction to RDFS and OWL ontologies
• Using OntModel in Jena
• Creating classes, properties, and individuals
• Activity

Module 4: SPARQL Querying in Jena

• Overview of ARQ (SPARQL processor in Jena)
• Writing SPARQL queries in Jena
• Executing queries over RDF datasets
• Activity

Advanced Jena, Storage, and Applications

Module 5: Jena TDB for Storage

• Introduction to Jena TDB (native triple store)
• Creating and using persistent RDF datasets
• Querying TDB with SPARQL
• Activity

Module 6: Jena Fuseki SPARQL Server

• Overview of Fuseki as a SPARQL endpoint
• Deploying Fuseki and loading datasets
• Querying data using Fuseki’s web interface
• Activity

Module 7: Reasoning and Inference in Jena

• Introduction to reasoning and inference
• Jena rule-based inference support
• Using reasoners with RDF and OWL data
• Activity

Module 8: Building Semantic Applications with Jena

• Integrating Jena into Java applications
• Combining RDF, SPARQL, and ontologies in real-world apps
• Best practices for using Jena in enterprise projects
• Wrap-up: Roadmap for learning advanced Jena features