Knowledge Engineering with Semantic Web Technologies



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The web has become an object of our daily life and the amount of information in the web is ever growing. Besides plain texts, especially multimedia information such as graphics, audio or video have become a predominant part of the web's information traffic. But, how can we find useful information within this huge information space? How can we make use of the knowledge contained in those web documents? Traditional search engines for example will reach the limits of their power, when it comes to understanding information content. The Semantic Web is an extension of the traditional web in the sense that information in the form of natural language text in the web will be complemented by its explicit semantics based on a formal knowledge representation. Thus, the meaning of information expressed in natural language can be accessed in an automated way and interpreted correctly, i.e. it can be ‘understood’ by machines.

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Where and when

Starts Location

What you'll learn on the course

Web of Data
Semantic Web Technologies

Course programme

Requirements for this course:

  • a basic knowledge of the foundations of mathematical logics, i.e. propositional logics and first order logics
  • a basic understanding of web technologies, such as URL, http, HTML, and XML-based technologies
  • a basic knowledge of database technology, esp. relational databases
    and SQL query language
  • Week 1:Knowledge Engineering and the Web of Data
  • Week 2:Semantic Web Technologies - Part 1
  • Week 3:Semantic Web Technologies - Part 2
  • Week 4:Knowledge Representation - Part 1
  • Week 5:Knowledge Representation - Part 2
  • Week 6:Knowledge Engineering