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Einführung in die Wissensrepräsentation

Winter

(engl. Introduction to knowledge representation )

Modulnummer: FIN-INF-110518

Kürzel

KR

CP

5

Semester

Winter

Fachsem.

Dauer

1 Semester

Sprache

deutsch

Niveau

Bachelor

Link zum LSF: LSF
Zugang beschränkt:
Verantwortung: Fabian Neuhaus
Dozent:in: Fabian Neuhaus
Lehrveranstaltungen:
  • Vorlesung Einführung in die Wissensrepräsentation
  • Übung Einführung in die Wissensrepräsentation
Verwendbarkeit: - B.Sc. INF: Informatik - Wahlpflicht
- B.Sc. INF: Informatik Wahlpflicht (SPO 2027)
- B.Sc. CV: Informatik - Wahlpflicht
- B.Sc. CV: Computervisualistik Wahlpflicht (SPO 2027)
- B.Sc. INGINF: Informatik - Wahlpflicht
- B.Sc. INGINF: Informatik Wahlpflicht (SPO 2027)
- B.Sc. WIF: Gestalten und Anwenden - Wahlpflicht
- B.Sc. WIF: Informatik Wahlpflicht (SPO 2027)
- B.Sc. INF (bilingual): Informatik - Wahlpflicht
- B.Sc. INF (bilingual): Informatik Wahlpflicht (SPO 2027)

Angestrebte Lernergebnisse:
The students ...

  • understand the theoretical foundations of knowledge representation
  • know important languages, methods and tools that are used in practice to represent knowledge
  • have the ability to develop simple knowledge graphs and ontologies independently in small teams and
  • present these results.

Inhalt:
In this module, students are introduced to the basics of knowledge representation. This is done using the example of technologies that are used for the representation of knowledge in the form of knowledge graphs and ontologies. The following content is covered in this module:

  • Theoretical foundations of knowledge representation and formal semantics
  • Resource Description Framework (RDF): a language for knowledge graphs
  • Resource Description Framework Schema (RDFS): a language for simple controlled vocabularies and taxonomies
  • SPARQL Protocol and RDF Query Language: a query language for RDF(S) graphs
  • Web Ontology Language (OWL): a language for applied ontologies
  • Methods for the development of knowledge graphs and ontologies
  • Examples of the use of knowledge graphs and ontologies in practice in various application areas (e.g. biology, chemistry, materials science)

Arbeitsaufwand:
56h attendance time + 94h independent work

Prüfungsvorleistungen: Studien-/Prüfungsleistungen: Lehrform / SWS:

  • 2/3 of the exercises voted
  • Active participation in lecture and exercises

Written exam

  • 2 SWS Lecture
  • 2 SWS Exercise
Voraussetzungen nach Prüfungsordnung: Empfohlene Voraussetzungen:

none

Successful completion of the “Logic” module or sound knowledge of the topics covered in the “Logic” module.

Medienformen: Literatur:



Hinweise:
Anmeldung via E-Learning-Plattform

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