Big Data Analytics Using Artificial Intelligence Technologies — Ontology for Big Data | Computer Science Online Tutorial

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Big Data Analytics Using Artificial Intelligence Technologies

A self-paced online tutorial session on ontology for big data, part of the Big Data Analytics Using Artificial Intelligence Technologies track. Work through the topics below, then reach out any time if you'd like a live walkthrough.

Estimated session length: 9 hours Format: Online, self-paced

What this tutorial covers

  • 01Human Brain and Ontology
  • 02Ontology of Information Science
  • 03Ontology Properties
  • 04Advantages of Ontologies
  • 05Components of Ontologies
  • 06The Role Ontology Plays in Big Data
  • 07Ontology Alignment
  • 08Goals of Ontology in Big Data
  • 09Challenges with Ontology in Big Data
  • 10RDF: The Universal Data Format
  • 11Using OWL: Web Ontology Language
  • 12Sparql Query Language
  • 13Building Intelligent Machines with Ontologies
  • 14Ontology Learning
  • 15Ontology Learning Process
  • 16Case Studies for Big Data Using Artificial Intelligence Technologies

How to use this session

Read through each topic in order — they build on one another. Keep a notes document open and try to restate each concept in your own words before moving to the next one; that single habit does more for retention than re-reading ever will.

If any topic above needs a deeper explanation, a worked example, or a live session with an instructor, get in touch using the details below and we'll set up a time that works for you.

Need help with this topic?

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