Udemy - Practical knowledge modelling
MP4 | Video: 1280x720 | 82 kbps | 44 KHz | Duration: 4 Hours | 781 MB
Genre: eLearning | Language: English
Capture knowledge through graphical and formal ontology techniques
Ever wondered how you could capture and represent knowledge to share it with someone else, using the most efficient way possible? Are you interested in learning how knowledge can be pieced together for human interpretation and Artificial Intelligence?
Chances are we've probably all at some point been faced with situations where we wished there was a quicker, more effective, way of capturing and representing knowledge so that it makes sense to human beings and computers. Knowledge modelling (or technically speaking, ontology modelling) is about the tools and techniques for capturing and representing knowledge. A knowledge model (a.k.a. ontology) is, basically, a representation that provides a basis for sharing meaning about some subject matter.
There are a great many uses of knowledge modelling from Artificial Intelligence to the Semantic Web, natural language processing, controlled vocabularies, reference models used in business analysis, engineering and many more. In this course, you'll learn how to go about modelling knowledge from a practical perspective, which means that in addition to getting an appreciation of the context of knowledge modelling, you'll also be expected to get your hands dirty! So, we'll be looking at applying different methods for understanding how to compose knowledge models. These methods include graphical as well as formal computer-aided techniques.
This course is for people who care about knowledge sharing and making knowledge a true asset for things like training, best practice, knowledge management, information systems, and so on.
What are the requirements?
Computer with internet connection and web browser
Diagramming tool for drawing shapes, e.g. Microsoft Office Visio, yEd, Omnigraffle, UML design tools, etc., or simply pen and paper
Protégé desktop ontology editor (please do not download until we've reached Section 5)
Spreadsheet application, e.g. Microsoft Office Excel or similar
What am I going to get from this course?
Over 63 lectures and 3.5 hours of content!
Become better at approaching the organization of information and knowledge in such a way that it makes sense to users
Apply a methodology for developing seamless knowledge models and use that understanding across any subject matter
Learn methods for gathering and analysing information
Gain awareness of the inner workings of knowledge models (ontologies)
Learn graphical methods for capturing and representing knowledge
Learn about semantics and the Web Ontology Language (OWL)
Learn how to use Protégé ontology editor
Grab free resources to take with you and explore in your own time
What is the target audience?
People with an interest in knowledge sharing
People with a willingness to learn formal methods for capturing knowledge
Individuals who operate in areas like information and knowledge management, business analysis, enterprise architecture, information systems, etc.
Professionals who work with databases, information structures and similar technologies
People interested in exploring alternative methods to apply in learning and development
The course does not cover advanced ontology engineering, ontology theory and mathematical logic