The aim of this course is to give an introduction into the technical foundations of Semantic Web Technologies, including knowledge representation and query languages, as well as logical inference. More specifically, it covers the following contents:

• Identify and apply tools and techniques for knowledge graph construction
• Learn how to query knowledge graphs
•  Understand the latest W3C standards for knowledge modeling.

• Assessment
  Exam (60% of the final score) and a group assignment (project work)(40% of the final score).

The aim of this course is to give an introduction into the technical foundations of Semantic Web Technologies, including knowledge representation and query languages, as well as logical inference. More specifically, it covers the following contents:

• Vision and Principles of the Semantic Web
• Representation Languages (RDF, RDF Schema, OWL)
• Knowledge Modeling: Knowledge Graphs and Ontologies
• Logical Reasoning in RDF and OWL
• Querying knowledge graphs using SPARQL 

Course form
Lectures, project work.

Literature

• Tom Heath, Christian Bizer "Linked Data: Evolving the Web into a Global Data Space" 2011. Available online in HTML for free.
• Pascal Hitzler, Markus Krötzsch, Sebastian Rudolphe. "Foundations of Semantic Web Technologies". 2009.
• Grigoris Antoniou, Paul Groth, Frank van Harmelen, Rinke Hoekstra. "A Semantic Web Primer", Third Edition. 2012.
• . Sunita Sarawagi "Information Extraction" Now Publishers Inc, 2008.