Hochschule Darmstadt - Fb Informatik

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Modulbeschreibung
Module:Foundations of Semantic Knowledge Graphs
Module number:41.5054
Language:english
Study programme:Dualer Master 2021 - Katalog AS: Anwendungs- und systemorientierte Module
Master 2021 - Katalog AS: Anwendungs- und systemorientierte Module
Dualer Master 2013 - Katalog AS: Anwendungs- und systemorientierte Module
Master 2013 - Katalog AS: Anwendungs- und systemorientierte Module
MN Data Science 2016 - Katalog M-I_I: Allgemeine Wahlpflicht Informatik
Type of course:V+Pro = Lecture+Project
Weekly hours:2+2
Credit Points:6
Exam:Individual semester project with final presentation (weight: 70%). Written assessment (weight: 30%)
Registering for examexplicitly and independent of booking
Frequency of offering:each semester (not yet offered)
Required knowledge:Basic knowledge in web technologies and logics is expected. Basic application development skills are required.
Learning objectives:After completing the course, students are able to…
  • understand concepts, technologies and languages used the create semantic knowledge graphs
  • apply the learned concepts in order to build a semantic knowledge graph for an individual business domain or application
  • utilize existing knowledge graphs for individual business applications
  • differentiate semantic knowledge graphs from other graph-based data structures
  • build ontologies and define the formal, model-theoretic semantics to be used in a knowledge graph
  • use state of the art ontology creation and management tools
  • query semantic knowledge graphs using standard semantic query languages (e.g. SPARQL)
Content:The module consists of 7 main parts:
1. Introduction to knowledge graph terminology
2. Knowledge representation frameworks
3. Methods for ontology and knowledge graph construction
4. Query languages for semantic knowledge graphs (SPARQL)
5. Application and use cases of semantic knowledge graphs (information integration, query answering, navigation support etc.)
6. Individual project work
7. Final presentation and written assessment

The following topics will be addressed
  • Fundamentals of semantic knowledge graph
  • Knowledge organization systems
  • Semantic knowledge representation frameworks
  • Ontology languages
  • Methods for ontology and knowledge graph creation
  • Query languages for semantic knowledge graphs
  • Utilization of knowledge graphs in real-world applications
Literature:
  • Hitzler, P., Krötzsch, M.,, Rudolph, S. (2010). Foundations of Semantic Web Technologies. Chapman and Hall/CRC Press. ISBN: 9781420090505
  • Markus Krötzsch, Frantisek Simancik, Ian Horrocks (2013). A Description Logic Primer. https://ar​xiv.org/ab​s/1201.408​9​
  • M. Krötzsch, F. Simancik and I. Horrocks, "Description Logics," in IEEE Intelligent Systems, vol. 29, no. 1, pp. 12-19, Jan.-Feb. 2014. doi: 10.1109/MIS.2013.123
  • Allison-Cassin, S. & Scott, D. (2018). Wikidata: a platform for your library's linked open data. Code4Lib, 40.
  • Vrandečić, D. & Krötzsch, M. (2014). Wikidata: A Free Collaborative Knowledgebase. Commun. ACM, 57, 78--85. doi: 10.1145/2629489
  • https://ww​w.wikidata​.org/wiki/​Wikidata​:Main_Page

Additional literature will be announced in the lectures.
Lecture style / Teaching aids:Seminar-like teaching style with practical exercises and a semester project. Auxiliary tools will be announced in the lecture.
Responsibility:Stefan Zander
Released:SS 2020
Professional competencies:
  • formal, algorithmic, mathematical competencies: medium
  • analytical, design and implementation competencies: high
  • technological competencies: high (Competency Areas:
    • Knowledge Graph Creation
    • Query Languages (SPARQL)
    • Ontology Creation
    • Ontology Languages (RDF, RDFS, OWL 2)
    • Knowledge Graph Utilization
    • Application Development)
  • capability for scientific work: medium
Interdisciplinary competencies:
  • project related competencies: medium
  • interdisciplinary expertise: basic technical and natural scientific competence
  • social and self-competencies: leadership competence, analytical competence, competence of knowledge acquisition

[Fachbereich Informatik] [Hochschule Darmstadt]
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