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Semantic Web

Semantic web describes data on the web maintaining its semantics in such a way that other web applications may "understand" the meaning of the data with only little effort. Semantic web has developed from a research initiative in the late 20th century into a fast growing infrastructure for application domains, such as bioinformatics or eGovernment. This infrastructure is driven by W3C standards as well as by methods and technologies from a diverse area of computer science disciplines, such as artificial intelligence, databases and human-computer interaction. This course will give an overview and introduction to core and current semantic web technologies, including: 

  • Description Logics;
  • XML, RDF, OWL;
  • Ontologies, ontology engineering, ontology design patterns;
  • SPARQL, named graphs, networked graphs;
  • Linked open data;
  • Information extraction;
  • Semantic Web services

Required Knowledge

Basic knowledge about about logics and data engineering recommended.

Acquired Competence

The student will be enabled to design and develop semantic Web applications. The student will be enabled to progress Semantic Web technologies in order to broaden and facilitate their use. The student will be enabled to understand the interaction of different standards, their technical implications as well as the social processes that underly various Semantic Web applications.

Contact

Dr. Matthias Thimm

Slides

TBA

Schedule

Please note that the lecture starts on Apr 28 at 14:30 (room E.524).

Date 12:30–14:00 14:15–15:45
Apr 28 L: “Introduction and overview” -
May 5 L: “Description Logics 1” T: “Basic concepts”
May 12 L: “Description Logics 2” T: “Description Logics”
May 19 - -
May 26 L: “XML” L: “RDF”
June 2 L: “RDFS/OWL” T: “RDF+XML”
June 9 - -
June 16 L: “Ontology Engineering” T: “RDFS/OWL”
June 23 L: “Ontology Matching” T: “Ontology Engineering”
June 30 L: “Linked Open Data” T: “Ontology Matching”
July 7 L: “SPARQL 1” T: “Linked Open Data”
July 14 L: “SPARQL 2” T: “SPARQL”
July 21 L: “Ontology-based Data Access” T: “SPARQL”
July 28 L: “Semantic Search” L: “Summary and Questions”

L - Lecture, T - Tutorials

Credits

For obtaining the credits of the course it is mandatory to participate in the tutorials of the course, obtain at least 60% of the credits, and pass the exam (written or orally) at the end of the course.

The date and location of the exam will be announced at a later point in time.

In order to register for the exam it is necessary to register in KLIPS. 

Literature

  • Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph. Foundations of Semantic Web Technologies. CRC Press, 2011
  • Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph, York Sure. Semantic Web. Springer, 2008
  • Dean Allemang, Jim Hendler. Semantic Web for the Working Ontologist. Elsevier, 2011