| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1 - Course Roadmap.pdf | 50.8 KB | ||
| 1 - Glossary.pdf | 181.1 KB | ||
| 1 - Introduction and Course Roadmap.mp4 | 6.5 MB | ||
| 1 - SPARQL and CYPHER Cookbook.pdf | 388.1 KB | ||
| 1 - Software Requirements.pdf | 59 KB | ||
| 10 - M8 Ontology Design Pattern | |||
| 10 - M8 Ontology Design Pattern.mp4 | 340.2 MB | ||
| 10 - M8_ Quick Revision & Common Interview Questions.pdf | 54.4 KB | ||
| 11 - Hands-on All Modules- Part1 | |||
| 11 - Hands-on All Modules- Part1.mp4 | 30.2 MB | ||
| 12 - Capstone Project | |||
| 17 - Capstone Project.mp4 | 43.2 MB | ||
| 17 - Capstone Project.pdf | 85.2 KB | ||
| 2 - Overview PART 1 | |||
| 2 - Course Overview.mp4 | 31.2 MB | ||
| 2 - Part1.pdf | 249.2 KB | ||
| 3 - Module 1 – Foundations of Knowledge Representation | |||
| 1 - Knowledge Represntation.html | 18 KB | ||
| 2 - DIKW Hierarchy.html | 17.8 KB | ||
| 3 - M1_ Quick Revision & Common Interview Questions.pdf | 57.1 KB | ||
| 3 - Understand knowledge representation, semantic technologies, and how knowledge gr.mp4 | 283.3 MB | ||
| 4 - Module 2 – RDF Data Model | |||
| 4 - M2_ Quick Revision & Common Interview Questions.pdf | 61.7 KB | ||
| 4 - RDF Data Model.mp4 | 269.6 MB | ||
| 5 - Module 3 – RDF Serialization Formats | |||
| 5 - M3_ Quick Revision & Common Interview Questions.pdf | 58.6 KB | ||
| 5 - Module 3 – RDF Serialization Formats.mp4 | 54.5 MB | ||
| 6 - M4 RDF Schema (RDFS) | |||
| 6 - M4 RDF Schema (RDFS).mp4 | 103.8 MB | ||
| 6 - M4_ Quick Revision & Common Interview Questions.pdf | 57.6 KB | ||
| 7 - M5 OWL | |||
| 7 - M5 OWL.mp4 | 100.7 MB | ||
| 7 - M5_ Quick Revision & Common Interview Questions.pdf | 59.4 KB | ||
| 8 - M6 SPARQL Querying | |||
| 8 - M6 SPARQL Querying.mp4 | 91.1 MB | ||
| 8 - M6_ Quick Revision & Common Interview Questions.pdf | 59 KB | ||
| 9 - M7 SKOS Taxonomy | |||
| 9 - M7 SKOS Taxonomy.mp4 | 75.2 MB | ||
| 9 - M7_ Quick Revision & Common Interview Questions.pdf | 58.7 KB | ||
| 12 - Hands-on All Modules- Part2.mp4 | 87.5 MB | ||
| 13 - Hands-on All Modules- Part3.mp4 | 90.6 MB | ||
| 14 - Hands-on All Modules- Part4.mp4 | 215 MB | ||
| 15 - Hands-on All Modules- Part5.mp4 | 246.5 MB | ||
| 16 - Hands-on All Modules- Part6.mp4 | 185.3 MB | ||
| 16 - Healthcare_Ontology_Lab.pdf | 103.9 KB |
Enterprise Ontology Engineering with Protégé, RDF, OWL,
https://WebToolTip.com
Published 7/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 15m | Size: 2.2 GB
Design, Build, Deploy, and Query Enterprise Knowledge Graphs using Semantic Web Technologies with Hands-on Projects and
What you'll learn
Build enterprise-grade healthcare ontologies using Protégé, RDF, RDFS, OWL, Apache Jena Fuseki, and SPARQL.
Design, model, query, and validate semantic knowledge graphs using industry-standard Semantic Web technologies.
Create a complete healthcare knowledge graph project from ontology design to deployment using real-world best practices.
Gain the foundation required to build production-ready Knowledge Graph and AI applications using Neo4j, SHACL, and Python in Part 2.
Requirements
No prior knowledge of Semantic Web or Knowledge Graphs is required.
A willingness to learn ontology engineering and Semantic Web technologies.
A computer with at least 8 GB RAM (16 GB recommended) to install Protégé and Apache Jena Fuseki.
Basic Programming knowledge in Python is required.
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