Working with Knowledge Graphs

Markus KrötzschMarkus Krötzsch

Markus Krötzsch
Working with Knowledge Graphs
Course at EDBT Summer School 2019, Lyon, France, 2019

Details
Bibtex

KurzfassungAbstract
Knowledge graphs are an important asset for many AI applications, such as personal assistants and semantic search, and a valuable resource for related fields of research. They are also, of course, a conceptual umbrella that spans rather different methods and approaches in the intersection of databases, knowledge representation, information extraction, knowledge management, and web technologies. This course focusses on the effective handling and usage of knowledge graphs. For a concrete and motivating example, we will dive into Wikidata, the knowledge base of Wikipedia, as used, e.g., by Apple's Siri and Amazon's Alexa. We will discuss data access and query answering, and explain how to use this resource in own projects. Moving beyond the well-established technologies, we then take a look at advanced rule-based reasoning approaches for inferring implicit information and validating (possibly recursive) schema constraints. The course aims at combining principled insights from foundational research with pragmatic perspectives that can be put to use in hands-on exercises.

You can also download the exercise sheet (PDF), which contains several hands-on exercises and an open-ended challenge.
Bemerkung: Note: The course consisted of two 90min lectures, linked here as main PDF ("download") and "slides", respectively.
Projekt:Project: CPEC, DIAMOND, Wikidata, Cfaed
Forschungsgruppe:Research Group: Wissensbasierte SystemeKnowledge-Based Systems

@misc{K2019:EDBT-Knowledge-Graphs,
  author = {Markus Kr{\"{o}}tzsch},
  title  = {Working with Knowledge Graphs},
  howpublished = {Course at the EDBT Summer School 2019, Lyon, France; available at \url{https://iccl.inf.tu-dresden.de/web/Misc3063/en}},
  year   = {2019}
}