Semantic web and linked data technology

Responsible for the module

Prof. Dr. Maria Maleshkova, M.Sc. Paul Schreiber

Qualification goal

The semantic web is an extension of the classic web. While this initially consisted largely of a globally used corpus of text and image information, a semantic network is extensively supplemented by so-called meta-information. Students acquire the skills to design semantic networks with regard to applications, particularly in logistics.

Contents

The subject-specific professional qualification and key skills are to be taught in the following areas in particular:

  • Basics of the “classic” web
  • Basics of a semantic web (SW)
    • Metainformation
    • Knowledge and content
    • Semantic Grid
  • Standards
    • Hypertext
    • Languages, HTML, PHP, Java
    • Data models
  • Benefits and risks of a SW
    • Big Data and Big Data Analysis (see Large-Scale Data Management module)
    • Network services using search engines
      • Search engines
      • Wikis
  • Technology for displaying and analyzing a SW
  • Military use
    • Significance of an internal semantic web
    • Reconnaissance through the use of SWs
    • Intrinsic risks in SWs

Module components

The scope of the course is 2 TWS lecture, 1 TWS exercise for 4 CP.


HSU

Letzte Änderung: 11. February 2025