Information Representation Organization

In the age of big data, organisations are collecting huge amounts of data/information of different types from a variety of sources. The data/information need to be organised and represented in appropriate forms to support intelligent applications as well as human decision making. The course seeks to impart competencies for representing information and knowledge using Internet technologies including RDF (Resource Description Framework), OWL 2 (Web Ontology Language) and metadata schemes; representing datasets in data-interchange formats including XML, JSON and Turtle; organizing information using classification schemes, taxonomies and controlled vocabulary; using appropriate software tools for ontology authoring, data formatting, and graphical visualization. The course is appropriate for students from any background who has an inclination for detailed content analysis, logical reasoning, linguistic analysis, data analytics or text mining.