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Querying Decentralized Knowledge Research Channel

The Querying Decentralized Knowledge (QDK) Research Channel provides a platform for researchers in domains related to query execution over decentralized knowledge. It allows researchers to share recent developments, discuss open challenges, and announce research results to a wider audience.

The target audience of this channel consists of other researchers in related domains, but also the wider public that are interested in this field for non-research aims.

🧩 Format

Every two months, a one-hour long livestream is held during which several research groups are invited to present their research. Each group receives a time slot, and is free to decide how to fill it. For example, some groups may want a single presenter to go in-depth into a single topic, while other groups may want a more fast-paced overview of research by several presenters.

Presentations are meant to trigger and enable discussion, as opposed to be unidirectional. As such, expect interruptions from other participants.

πŸ–₯️ How to watch

For people that want to follow the discussions without presenting, they can follow the video feed that is livestreamed to our YouTube channel. All recordings are kept available for future reference in this YouTube channel.

🀝 How to participate

For researchers that want to present something during an upcoming session, please contact Ruben Taelman.

πŸ“… Schedule

Sessions will be held every two months on the second Tuesday of the month at 9:30 (CEST).

The next session will take place on June 11 2024 at 9:30 (CEST).

πŸ’‘ Topics

The following topics (but not limited to) are relevant for discussion within this research channel:

  • Querying over data on the Web
  • Distributed and federated querying over Knowledge Graphs
  • Benchmarking query engines for Knowledge Graphs
  • Query languages
  • Developer Experience

πŸ“¬ Organization

These sessions are organized by Ruben Taelman (Ghent University - imec) and colleagues. For questions, please contact Ruben Taelman.

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