DBpedia Knowledge Engineering PhD Symposium

July 6, 2022
9:00 am CEST
Neues Rathaus/City Hall
Martin-Luther-Ring 4-6

About the DBpedia Knowledge Engineering PhD Symposium

We are creating a meeting place and scientific network around DBpedia for scientific exchange – the DBpedia Knowledge Engineering PhD Symposium – where junior and senior researchers can establish relations and collaborations and exchange ideas and knowledge. Thus, we aim to manifest a scientific community as a driver for DBpedia and Linked Data and expect synergies and network effects that will greatly improve scientific output by the involved community members. The DBpedia Knowledge Engineering PhD Symposium will be held on the third day of the week-long Data Week Leipzig 2022 event (July 4-8, 2022).

The Format

The DBpedia Knowledge Engineering PhD Symposium consists of the following highlights:

  • A senior researcher starts the symposium by giving insights into their experience on “what makes a good PhD”.
  • Several PhD students will present their thesis and topics. On the one hand, they will receive feedback and on the other hand, the symposium participants will gain insight 1) on how they structure and define their PhDs, 2) on what the current trends are and 3) on potential connecting A dedicated poster session where all PhD participants can bring their poster and discuss with the audience during the coffee breaks. Please contact the organizers if interested in presenting a poster!
  • A community session, where we discuss how to organize the research network around DBpedia.
  • In the afternoon we will walk through the city center of Leipzig and also visit the LivingLab at the University of Leipzig. In the evening we will meet in a nearby pub and discuss the PhD topics of the day.

Submission of presentations

We are looking for presentations within the broader scope of the knowledge engineering field. From knowledge extraction, integration and curation, to knowledge publishing, quality assurance and knowledge exploitation in AI solutions. Each PhD presenter will receive a 30 minutes slot which includes 20 minutes for presentation of the research topic and 10 minutes for questions, feedback and discussion.

The aim of the DBpedia Knowledge Engineering PhD Symposium is to provide an opportunity to PhD students to present their PhD-related work-in-progress and receive feedback on their current work. In an open, supportive and non-confrontational environment the students will present their thesis in relation to the state-of-the-art, the identified gaps, addressed challenges, considered methods for exploitation, datasets for validation, and the overall evaluation approach. The colloquium will help PhD students to strengthen and shape their work as they progress towards their PhD degree. Moreover, the colloquium is a great opportunity to build a network of peers for their future career. The ultimate objective of the colloquium is to promote excellence in PhD research in the knowledge engineering field.

Confirmed list of mentors

  • Maribel Acosta, RUB
  • Thomas Riechert, HTWK
  • Sahar Vahdati, InfAI
  • Maria-Esther Vidal, TIB
  • Krzysztof Węcel, PUEB


times are in CEST

8:45 – 9:00Meet and greet
9:00 – 9:30Opening and Invited talk by Sören Auer (TIB)
9:30 – 10:302 presentation slots
10:30-11:00Coffee Break
11:00 – 12:002 presentation slots
12:00 – 12:45lunch
12:45 – 14:303 presentation slots
14:30 – 15:00Closing Session 
15:00 – 15:45Coffee Break and Get together
15:45 – 16:30City walking tour
16:30LivingLab tour
17:30+ Informal meeting in a nearby pub

Deadline for PhD presentations

  • submission: May 29, 2022
  • notification: June 3, 2022

How to apply and join

To apply for a PhD presentation please fill-in the provided form (extended abstracts of ~ 500 words / 1 page).  

How to register

The symposium will be organized as an on-site event where you need to register and buy at least a single day Data Week ticket (Tickets will be available from mid-May.). All symposium participants will be invited to an informal meeting in the evening, where the PhD student can discuss their current results and future plans with professors and experts from the knowledge engineering field.

Organisation Committee

  • Milan Dojchinovski, DBpedia Association / Czech Technical University in Prague
  • Julia Holze, DBpedia Association
  • Sebastian Hellmann, DBpedia Association