[ 926BUSISAIU20 ] UE Semantic Artificial Intelligence

(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Business Informatics Bernd Neumayr 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Master's programme Business Informatics 2022W
Objectives See Semantic Technologies module
Subject See Semantic Technologies module
Criteria for evaluation Practical exercises, presentation of case studies based on the lecture material
Methods The exercises serve to consolidate and deepen the topics of the lecture. For selected topics exercises will be conducted in class. Further, students conduct exercises in small groups on specific topics and technologies. The results are presented and discussed in class. In addition, students are given the opportunity to reflect on topics from the lecture and discuss problems with the lecturer.
Language German/English
Study material Basic literature:

  • Fensel, D.; Lausen, H.; Polleres, A.; de Bruijn, J.; Stollberg, M.; Roman, D.; Domingue, J.: Enabling Semantic Web Services: The Web Service Modeling Ontology. Springer, Berlin, 2007.
  • Hitzler, P.; Kr√∂tzsch, M.; Rudolph, S.; Sure, Y.: Semantic Web. Springer, Berlin/Heidelberg, 2008.
  • Kashyap, V.; Bussler, C.; Moran, M.: The Semantic Web, Semantics for Data and Services on the Web. Springer, Berlin, 2008.
  • Kuropka, D. et al.: Semantic Service Provisioning. Springer, Berlin, 2008.

Supplementary reading will be announced for each semester.

Changing subject? No
Further information See Semantic Technologies module
Corresponding lecture (*)926BUSISETU14: UE Semantische Technologien (3 ECTS)
On-site course
Maximum number of participants 30
Assignment procedure Assignment according to priority