Nex-G Innovations

The objective of the Semantic Web training program is to equip participants with a comprehensive understanding of Semantic Web principles, technologies, and applications. By mastering key concepts such as RDF, OWL, SPARQL, and linked data, participants will learn to design ontologies, publish and query semantic data, and utilize reasoning tools to infer new knowledge.

The program emphasizes hands-on experience with industry-standard tools like Protégé, Apache Jena, and RDF4J, enabling participants to build and deploy semantic web applications. Through real-world case studies and a capstone project, learners will gain practical skills to apply Semantic Web technologies across domains like healthcare, finance, and e-commerce, preparing them for advanced exploration of knowledge graphs and AI integration.

Code: NES_SK_3512

Duration: 80 hrs / 8 weeks / Customized

Mode: Corporate (Instructor Led - Online / Offline / Onsite), Individual (Instructor Led - Online / Offline)

+91-8826900551

• Overview of the evolution of the web
• Goals and benefits of the Semantic Web
• Key technologies: RDF, OWL, SPARQL, and Linked Data

• Layers of the Semantic Web: URI, XML, RDF, RDFS, OWL, and SPARQL
• Semantic Web stack and its importance

• Basics of RDF: Triples (subject, predicate, object)
• Writing RDF in different formats (Turtle, XML, JSON-LD)
• Hands-on: Creating and visualizing RDF graphs

• Introduction to RDF Schema
• Defining classes, properties, and hierarchies
• Hands-on: Using RDFS to create simple ontologies

• Four principles of Linked Data
• URIs, HTTP, and RDF as the foundation
• Hands-on: Accessing and using public linked data (e.g., DBpedia)

• What are ontologies and their role in the Semantic Web?
• Differences between taxonomies, thesauri, and ontologies

• Basics of OWL: Classes, properties, and individuals
• OWL axioms: Domain, range, equivalence, and disjoint classes
• Hands-on: Creating ontologies with Protégé

• Guidelines for designing effective ontologies
• Avoiding common pitfalls in ontology development
• Hands-on: Extending existing ontologies (e.g., FOAF, schema.org)

• Introduction to reasoners (Hermit, Pellet, Fact++)
• Using reasoners to infer new knowledge
• Hands-on: Applying reasoning in Protégé

• Introduction to SPARQL syntax and query structure
• Writing SELECT, ASK, DESCRIBE, and CONSTRUCT queries
• Hands-on: Querying RDF datasets

• Filters, optional patterns, and subqueries
• Aggregations and result grouping
• Hands-on: Writing complex SPARQL queries for analytics

• Overview of popular tools: Protégé, Apache Jena, RDF4J
• Programming with RDF using Python (RDFlib)
• Hands-on: Setting up and using Apache Jena for data processing

• Integrating RDF data with web applications
• Designing REST APIs for linked data
• Hands-on: Developing a semantic web app using real-world datasets

• Real-world use cases:
• Knowledge graphs in enterprises
• Semantic search and recommendation systems
• Healthcare interoperability using ontologies

• End-to-end project combining all concepts
• Designing and building an ontology
• Publishing linked data
• Writing SPARQL queries for data insights
• Developing a small web application