Practical Knowledge Modelling: Ontology Development 101

Capture machine-interpretable knowledge through ontology and semantic techniques

Created by: Tish Chungoora
Knowledge Graph Consultant | Ph.D. | CSPO | BCS Certified

What Will I Learn?

• Become better at approaching the organisation of information and knowledge in such a way that it makes sense to users
• Apply a methodology for developing seamless knowledge models (ontologies) and use that understanding across any subject matter
• Gain awareness of the inner workings of knowledge models (ontologies) expressed as visual and machine-interpretable representations
• Develop semantically-rich ontologies and knowledge graphs, formalized in the Web Ontology Language (OWL), using the Protégé ontology editor

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

Target audience

• 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