Learning Outcomes
Knowledge: Familiarization with principles and technologies for representing and reasoning about data, metadata, and knowledge in the Semantic Web, Familiarization with Ontology Engineering and Knowledge Graph deployment techniques, Training on XML editors/processors and RDF and Ontology editors, RDF databases (triplestores).
Skills: Developing metadata vocabularies and ontologies, Representation of data, metadata, knowledge and ontologies using the following languages: XML, DTD, XML Schema, XSLT, XPATH, RDF, RDF Schema, SPARQL, OWL, SWRL and SPIN.
Course Content (Syllabus)
Introduction and General vision of the Semantic Web (SW). SW Architecture. Technologies and Languages of the SW. Modern examples of applications using the SW. XML (Description, DTD, XML Schema, Namespaces, XPath, XSLT, XML tools). RDF (Description, Turtle/n-triples/XML syntax, RDF Schema, RDF/RDFS Semantics, Querying RDF/RDFS with SPARQL, Linked Open Data, RDF tools). OWL (Introduction to ontologies and OWL, Description and syntax, OWL flavors, Examples, OWL in OWL, Future extensions, OWL tools). OWL2 Presentation. Ontology Engineering (Ontology creation, Reusing ontologies, Semi - automatic methods). SW Applications. Linked Open Data. Logic and Inferencing (SWRL, OWL2 RL, RIF, RuleML, SPIN, SHACL rules).
Keywords
semantic web, web 3.0, metadata, ontologies, linked open data, XML, RDF, OWL, SWRL, SPARQL, SPIN
Course Bibliography (Eudoxus)
"A Semantic Web Primer", 2nd Edition, Grigoris Antoniou and Frank van Harmelen, MIT Press, 2008, ISBN 978-0-262-01242-3.
"A Semantic Web Primer", 3rd Edition, Grigoris Antoniou, Paul Groth, Frank van Harmelen and Rinke Hoekstra, MIT Press, 2012, ISBN 978-0-262-01828-9.