Practical Knowledge Modelling: Ontology Development 101
Have you ever wondered how you could capture and represent knowledge in the most efficient way possible in order to share it with others? Are you curious about how knowledge can be assembled for human interpretation and Artificial Intelligence?
You've probably all been in situations where you wished there was a faster, more effective way of capturing and representing knowledge so that humans and computers could understand it. The tools and techniques for capturing and representing knowledge are referred to as knowledge modeling. A knowledge model is essentially a representation that serves as a foundation for sharing meaning about a topic.
Knowledge modeling has a wide range of applications, including Artificial Intelligence, the Semantic Web, natural language processing, augmented controlled vocabularies and thesauri, reference models for business analysis and engineering, and much more. You'll learn how to model knowledge from a practical standpoint in this course, which means you'll be expected to get your hands dirty as well as gain an understanding of the context of knowledge modeling. As a result, you'll investigate various methods for developing knowledge models. These techniques include both graphical and formal computer-assisted techniques.
Who this course is for:
- Data-oriented professionals with an interest in machine-interpretable methods for knowledge capture and sharing
Individuals who operate in areas like information and knowledge management, business analysis, enterprise architecture, information systems, etc. - Professionals intending to work with Semantic Web-based knowledge graph technologies and graph databases
Requirements
- Diagramming tool for drawing shapes, e.g. Microsoft Office Visio, yEd, Diagrams .net, Lucidchart, UML design tools, etc., or simply pen and paper
- Spreadsheet application, e.g. Microsoft Office Excel or similar
Course ratings: 4.3/5
Enroll here: https://www.udemy.com/course/practical-knowledge-modelling/
