Credit: Anna Logue
Knowledge Graphs Seminar (FSS 2019)
Knowledge Graphs are a universal and versatile mechanism of knowledge representation on the Web. In the past years, large-scale, publicly available Knowledge Graphs, such as DBpedia or Wikidata, have gained momentun in various applications. The aim of this seminar is to get an overview of existing Knowledge Graphs, the underyling techniques for their creation and development, as well as potential use cases.
Goals
In this seminar, you will familiarize yourself with a knowledge graph both by reading scientific papers and technical reports, as well as experimentation and exploration on your own. We will analyze strenghts and weaknesses of current approaches, discuss commonalities and particularities of the different knowledge graphs, and explore current research directions.
As a participant, you are supposed to introduce one knowledge graph in a seminar paper, and present it to the seminar participants. Each seminar paper undergoes a peer review process in the seminar. Presentations are supposed to be about 25 minutes long.
Organization
This seminar is organized by Prof. Dr. Heiko Paulheim
Available for Master students (2 SWS, 4 ECTS)
Prerequisites: none
Additional resources:
Schedule
- 18 February, 3:30–5:00 pm (room A 301 – building B 6, 23–25): kick off meeting
- 7 April: Deadline for seminar report drafts
- 21 April: Deadline for peer review on seminar report drafts
- 29 April, 6 May/
13th/20th:, 1:45–5:00 pm (room A 301): presentations and discussions - 30 June: final paper due
Registration
- Registration will be available in Portal2 (tba)
- After getting a confirmation from Portal2, please send a ranked list of three topics you would like to read and present in the seminar to Bianca Lermer
- Final assignment of topics will be made in the kick off meeting
Presentation Schedule
There will be four dates with three presentations each:
- 29.4.: (1) DBpedia, (2) YAGO, (3) Wikidata
- 6.5.: (1) Probase, (2) WebIsA, (3) KnowledgeVault
- 13.5.: (1) ConceptNet, (2) BabelNet, (3) Cyc
- 20.5.: (1) KnowitAll/
ReVerb, (2) NELL, (3) DeepDive
Topics
Note: The list below only lists the main paper(s) introducing the knowledge graph as an entry point to your work. It is part of your task to dig deeper by reading cited and citing sources as well.
Additional Reading
The following reading list collects basic introductions and surveys on the seminar topic. Every participant of the seminar is expected to familiarize themselves with those papers.
- Bonatti, P.A., Cochez, M., Decker, S., Polleres, A., and Presutti, V. (eds.): Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web
- Ehrlinger, L., & Wöß, W.: Towards a Definition of Knowledge Graphs
- Suchanek, F., & Weikum, G.: Knowledge harvesting from text and web sources
- Färber, M., Bartscherer, F., Menne, C., & Rettinger, A.: Linked data quality of dbpedia, freebase, opencyc, wikidata, and yago
- Paulheim, H.: Knowledge graph refinement: A survey of approaches and evaluation methods
- Ringler, D., & Paulheim, H. One knowledge graph to rule them all? Analyzing the differences between DBpedia, YAGO, Wikidata & co