A comprehensive course for practitioners who want to apply Semantic Web technologies in real-world scenarios. This certification builds on foundational knowledge and delves into designing ontologies, integrating data, and developing applications using semantic standards. Participants gain hands-on experience with tools like Protégé and Apache Jena while learning to publish and query semantic data. By mastering key concepts (RDF, OWL, SPARQL) and practical techniques, graduates will be able to build and utilize knowledge graphs in domains such as business, healthcare, or finance. (Recommended for those with basic Semantic Web knowledge or who have completed the Foundations course.)
Curriculum:
Module 1: Semantic Web Architecture & Standards – In-depth look at the Semantic Web stack (URIs, RDF/RDFS, OWL, SPARQL) and how these standards work together to enable a web of data.
Module 2: Ontology Design and Knowledge Modeling – Techniques for designing effective ontologies, using real-world vocabularies (e.g., FOAF, Schema.org), and best practices to avoid common ontology pitfalls.
Module 3: Advanced SPARQL and Query Optimization – Writing complex SPARQL queries (FILTER, OPTIONAL, UNION, CONSTRUCT, etc.), SPARQL 1.1 features, and optimizing queries for performance and analytics.
Module 4: Semantic Web Development Tools – Hands-on training with industry-standard tools and frameworks: using Protégé for ontology building, Apache Jena/RDF4J for building semantic applications, and using Python RDFlib for scripting with RDF data.
Module 5: Building Linked Data Applications – Integrating knowledge graphs into web applications, designing RESTful APIs for linked data, and using JSON-LD and RDFa in modern web development for embedding structured data.
Module 6: Case Studies and Project – Real-world use cases of semantic technologies (enterprise knowledge graphs, semantic search, etc.), and a capstone project where learners design a small knowledge graph and develop a prototype application that consumes semantic data.
