Department of Information and Computing Sciences

Departement Informatica Onderwijs
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Knowledge management

Website:website containing additional information
Course code:INFOKMT
Credits:7.5 ECTS
Period:period 2 (week 46 through 5, i.e., 9-11-2020 through 5-2-2021; retake week 16)
Timeslot:A
Participants:up till now 12 subscriptions
Schedule:Official schedule representation can be found in MyTimetable
Teachers:
formgrouptimeweekroomteacher
lecture          Mel Chekol
Contents:

Course Description

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
Prerequisites. Basic knowledge of first-order logic as taught in an introductory BSc course on Logic; notions about relational databases as taught in an introductory BSc course.

Course Goal

To develop skills on knowledge management using Semantic Web standards and tools.

Course Objectives

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

Books

  • Linked Data: Evolving the Web into a Global Data Space. Tom Heath, Christian Bizer. 2011. Available online in HTML for free.
  • Foundations of Semantic Web Technologies. Pascal Hitzler, Markus Krötzsch, Sebastian Rudolphe. 2009.
  • A Semantic Web Primer, Third Edition. Grigoris Antoniou, Paul Groth, Frank van Harmelen, Rinke Hoekstra. 2012.
  • Information Extraction. Sunita Sarawagi. Now Publishers Inc, 2008.
Exam form:
Exam (individual) = 60% of grade
Research project (group assignment) = 40% of grade
You pass this course when your weighed average is >= 5.5 and no mark is less than 5
Respecting deadlines is part of the course requirements.
Minimum effort to qualify for 2nd chance exam:To qualify for the retake exam, the grade of the original must be at least 4.
Description: The course is also open to students from other programs including those from other faculties.
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