Knowledge Modelling and Semantic Web Technologies
Sub No. : AI60008
LTP: 3-0-0
Credits: 3
Prerequisite : None
Taught by : Plaban Kumar Bhowmik
Teaching Assistents :
Rekha Regar, Avinash Paidi, Aditya Chawla, Pauras Meher
This Knowledge Modelling and Semantic Web Technologies course aims at developing foundations in semantic web technology addressing web scale semantic knowledge modelling techniques and related programming paradigms and application case studies.
Brief Course Content:
Features, rational and advantages of semantic web technologies; semantic data modelling through RDF and RDF schema; Querying RDF data with SPARQL; Ontology for semantic web, Web Ontology Language (OWL), OWL semantics with Description Logic, Reasoning with OWL knowledge base; Ontology Engineering methodologies, Ontology design with protege; Ontology design case studies from diverse domains e.g., Life Sciences, Cultural Heritage etc.
