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 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
All times are in CEST.
|8:45 – 9:00
|Meet and greet
|9:00 – 9:30
|Opening and Invited talk by Sören Auer (TIB) (slides)
|9:30 – 10:00
|Multilingual Accessibility of Knowledge Graph Question Answering Systems by Aleksandr Perevalov, Anhalt University of Applied Sciences (slides)
|10:00 – 10:30
|Towards FAIR Linked Data Integration by Johannes Frey, InfAI, Leipzig University (slides)
|10:30 – 11:00
|Coffee Break & Poster Session
|11:00 – 11:30
|Towards Incremental Knowledge Graph Construction: Reusability and Reproducibility Issues by Marvin Hofer, ScaDS.AI, Leipzig University (slides)
|11:30 – 12:00
|Bringing Research Artifacts (as closer) Together: Knowledge Graphs for Libraries by Fidan Limani, ZBW – Leibniz-Informationszentrum Wirtschaft (slides)
|12:00 – 13:00
|13:00 – 13:30
|Machine Learning on Semantic Scientific Knowledge by Gollam Rabby, Prague University of Economics and Business (slides)
|13:30 – 14:00
|Distributed Approaches for Knowledge Representation and Reasoning on Geospatial Data by Mehdi Azarafza, InfAI (slides)
|14:00 – 14:15
|Representation and Reinforcement Learning on Knowledge Graphs by Mirza Mohtashim Alam, Smart Data Analytics/Uni Bonn
|14:15 – 14:30
|Unsupervised Information Extraction from Academic Data Sources to Knowledge Graphs by Paulo Ricardo Viviurka do Carmo, ex-HTWK Leipzig/InfAI
|14:30 – 15:00
|Closing Session by Sebastian Hellmann, AKSW, DBpedia Association and Milan Dojchinovski, DBpedia Association/CTU in Prague
|15:00 – 15:45
|Coffee Break & Poster Session
|15:45 – 16:30
|City walking tour
|Informal meeting in a nearby pub
Address: Katharinenstraße 12, 04109 Leipzig
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.
- Milan Dojchinovski, DBpedia Association / Czech Technical University in Prague
- Julia Holze, DBpedia Association
- Sebastian Hellmann, DBpedia Association