Enterprise Ontology Engineering with Protégé, RDF, OWL,

Knowledge Graphs and Ontologies have become foundational technologies for Artificial Intelligence, Enterprise Data Integration, Semantic Search, Digital Twins, Healthcare Informatics, Finance, Manufacturing, and many other domains. Organizations worldwide are adopting Semantic Web technologies to build intelligent, connected, and reusable knowledge systems.This course provides a comprehensive, hands-on introduction to Enterprise Ontology Engineering using industry-standard Semantic Web technologies. Whether you are a software engineer, data engineer, AI practitioner, researcher, or student, this course will equip you with the practical skills required to design, develop, deploy, and query enterprise knowledge graphs.Starting from the fundamentals of Knowledge Representation, you will progressively learn RDF, RDFS, OWL, Protégé, Apache Jena Fuseki, SPARQL, SKOS, and Ontology Design Patterns. Every concept is demonstrated through practical examples, culminating in the development of a complete Healthcare Knowledge Graph.Unlike theory-focused courses, this program emphasizes practical implementation. You will build ontologies from scratch, create semantic relationships, populate knowledge graphs with real-world data, deploy them in Apache Jena Fuseki, and retrieve information using SPARQL.The course also includes multiple hands-on laboratory exercises and a capstone project where you will independently design and develop an enterprise knowledge graph for a business domain of your choice.By the end of this course, you will have the confidence and practical experience to design semantic solutions for healthcare, finance, retail, manufacturing, education, government, logistics, and many other industries.Whether you are beginning your Semantic Web journey or looking to strengthen your enterprise ontology engineering skills, this course provides the knowledge, practical experience, and best practices needed to build production-ready knowledge graphs.