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Description of  Practical Knowledge Modelling Ontology Development 101

Last updated 1/2024 Duration: 3h41m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.45 GB Genre: eLearning | Language: English Capture machine-interpretable knowledge through ontology and semantic techniques What you'll 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 Prot?g? 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 Description Ever wondered how you could capture and represent knowledge 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. applying different methods for building 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 Who this course is for 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 https://www.udemy.com/course/practical-knowledge-modelling