623.611 (19W) Semantic Web Technologies

to moodle

Wintersemester 2019/20

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First course session
02.10.2019 16:00 - 18:00 On Campus

... no further dates known

Overview

Lecturer

Assoc. Prof. Dipl.-Ing. Dr. Konstantin Schekotihin

Course title german

Semantic Web Technologies

Type

Lecture - Course (continuous assessment course )

Hours per Week

2.0

ECTS credits

4.0

Registrations

22 (30 max.)

Organisational unit

Institut für Artificial Intelligence und Cybersecurity

Language of instruction

English

possible language(s) of the assessment

German

Course begins on

02.10.2019

eLearning

Go to Moodle course

Seniorstudium Liberale

Yes

Time and place

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Course Information

English

Intended learning outcomes

The modern Web is an important communication channel for an enormous number of people around the world. However, since its introduction in early nineties the content of the Web is generated mainly by people and for people. Computers act mainly as a medium and are not able to use the information they transfer. Semantic Web is called to make machines to read the Web as we do. The course gives an introduction to this emerging area some parts of which are already well-known industry standards whereas the others are a focus of active research.

Teaching methodology including the use of eLearning tools

The course combines lectures with practical exercises.

Course content

XML
Resource Description Framework (RDF)
RDF Schema
Linking Open Data (LOD)
SPARQL: a query language for the Web
Semantic modeling and reasoning with OWL
Logic Programming for the Semantic Web

Prior knowledge expected

Basic knowledge of modern Web technologies is required.

Recommended courses: Logic & Logic Programming, Databases (these courses are not mandatory, but simplify understanding of the material)

Literature

Main sources:

Dean Allemang, James Hendler: Semantic Web for the Working Ontologist, Second Edition. Morgan Kaufmann (2011)
Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph: Foundations of Semantic Web Technologies. Chapman & Hall/CRC (2008)

Additional:

John Hebeler, Matthew Fisher, Ryan Blace, Andrew Perez-Lopez, Mike Dean: Semantic Web Programming. Wiley (2009)
Tom Heath, Christian Bizer: Linked Data. Morgan & Claypool Publishers (2011)
Thomas Eiter, Giovambattista Ianni, Thomas Krennwallner, and Axel Polleres. Rules and ontologies for the semantic web. In Reasoning Web 2008, volume 5224 of Lecture Notes in Computer Science (LNCS), pages 1-53.

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

Master's degree programme Applied Informatics (SKZ: 911, Version: 13W.1)
- Subject: Business Information Systems (Compulsory elective)
  - Topics in Knowledge and Data Engineering for Business Information Systems ( 2.0h VK / 4.0 ECTS)
    - 623.611 Semantic Web Technologies (2.0h VC / 4.0 ECTS)

Master's degree programme Applied Informatics (SKZ: 911, Version: 13W.1)
- Subject: Knowledge and Data Engineering (Compulsory elective)
  - Semantic Web Technologies ( 2.0h VK / 4.0 ECTS)
    - 623.611 Semantic Web Technologies (2.0h VC / 4.0 ECTS)

Master's degree programme Informatics (SKZ: 911, Version: 19W.2)
- Subject: Artificial Intelligence (Compulsory elective)
  - Weitere LVen aus dem gewählten Spezialisierungsfach ( 0.0h XX / 12.0 ECTS)
    - 623.611 Semantic Web Technologies (2.0h VC / 4.0 ECTS)
      Absolvierung im 1., 2. Semester empfohlen

Master's degree programme Informatics (SKZ: 911, Version: 19W.2)
- Subject: Business Information Systems (Compulsory elective)
  - Weitere LVen aus dem gewählten Spezialisierungsfach ( 0.0h XX / 12.0 ECTS)
    - 623.611 Semantic Web Technologies (2.0h VC / 4.0 ECTS)
      Absolvierung im 1., 2. Semester empfohlen

Master's degree programme Informatics (SKZ: 911, Version: 19W.2)
- Subject: Data Science and Engineering (Compulsory elective)
  - Weitere LVen aus dem gewählten Spezialisierungsfach ( 0.0h XX / 12.0 ECTS)
    - 623.611 Semantic Web Technologies (2.0h VC / 4.0 ECTS)
      Absolvierung im 1., 2. Semester empfohlen

Master's degree programme Information Management (SKZ: 922, Version: 19W.1)
- Subject: Specialisation in Information Management (Compulsory elective)
  - Specialisation in Information Management ( 0.0h VO, VC, KS / 16.0 ECTS)
    - 623.611 Semantic Web Technologies (2.0h VC / 4.0 ECTS)
      Absolvierung im 1., 2., 3. Semester empfohlen

Master's degree programme Information Management (SKZ: 922, Version: 13W.2)
- Subject: Informationssysteme (Compulsory subject)
  - 2.4 Semantic Web Technologies ( 2.0h VC/KS / 4.0 ECTS)
    - 623.611 Semantic Web Technologies (2.0h VC / 4.0 ECTS)

Master's degree programme Technical Mathematics (SKZ: 401, Version: 13W.1)
- Subject: Informatik (Compulsory elective)
  - Semantic Web ( 2.0h VK / 4.0 ECTS)
    - 623.611 Semantic Web Technologies (2.0h VC / 4.0 ECTS)

Equivalent courses for counting the examination attempts

Sommersemester 2024

623.611 VC Semantic Web Technologies (2.0h / 4.0ECTS)

Sommersemester 2023

623.611 VC Semantic Web Technologies (2.0h / 4.0ECTS)

Wintersemester 2021/22

623.611 VC Semantic Web Technologies (2.0h / 4.0ECTS)

Wintersemester 2020/21

623.611 VC Semantic Web Technologies (2.0h / 4.0ECTS)

Wintersemester 2018/19

623.611 VC Semantic Web Technologies (2.0h / 4.0ECTS)

Wintersemester 2016/17

623.611 VC Semantic Web Technologies (2.0h / 4.0ECTS)

Wintersemester 2015/16

623.611 VC Semantic Web Technologies (2.0h / 4.0ECTS)

Wintersemester 2014/15

623.611 VK Semantic Web Technologies (2.0h / 4.0ECTS)

Wintersemester 2013/14

623.611 VK Semantic Web Technologies (2.0h / 4.0ECTS)