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# Querying Decentralized Knowledge _Research Channel_ | ||
# KNoWS Monthly Query Research Updates | ||
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The Querying Decentralized Knowledge (QDK) Research Channel provides a **platform for researchers** | ||
in domains related to query execution over decentralized knowledge. | ||
The [KNoWS research group](https://knows.idlab.ugent.be/) at Ghent University | ||
presents monthly query research updates. | ||
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The goal of these updates is to share the research we have ongoing | ||
across the different people (~6) working on query-related topics. | ||
These research topics are related to improving the way we query over Web-based decentralized environments, | ||
with SPARQL, RDF, Solid, and more. | ||
It allows researchers to **share recent developments**, **discuss open challenges**, and **announce research results** to a wider audience. | ||
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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. | ||
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## 🧩 Format | ||
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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. | ||
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Presentations are meant to trigger and enable discussion, as opposed to be unidirectional. | ||
As such, expect interruptions from other participants. | ||
Within every progress update, each KNoWS researcher has a 5-minute slot to present the overall research goal, | ||
achievements from the previous month, and goals for the next month. | ||
After each researcher, we have a brief group discussion among all participants. | ||
Sometimes, guests may also be invited for presenting or contributing to discussions. | ||
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## 🖥️ How to watch | ||
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For people that want to follow the discussions without presenting, | ||
they can follow the video feed that is livestreamed to our [YouTube channel](). | ||
The monthly updates are livestreamed to our [YouTube channel](https://www.youtube.com/@KNoWS-UGent). | ||
All recordings are kept available for future reference in this YouTube channel. | ||
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## 🤝 How to participate | ||
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For researchers that want to present something during an upcoming session, | ||
please contact [Ruben Taelman](mailto:[email protected]). | ||
<center> | ||
<div id="iframeDiv"><a id="iframeLink" href="https://www.youtube.com/embed/DQBSu8xeofg"><img src="https://i3.ytimg.com/vi/DQBSu8xeofg/maxresdefault.jpg"></a></div> | ||
</center> | ||
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## 📅 Schedule | ||
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Sessions will be held every two months on the second Tuesday of the month at 9:30 (CEST). | ||
Updates will be held every two months on the last Tuesday of the month at 9:30 (Brussels time). | ||
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The next session will take place on **June 11 2024 at 9:30 (CEST)**. | ||
The next update will take place on **September 24 2024 at 9:30 (Brussels time)**. | ||
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## 💡 Topics | ||
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The following topics (but not limited to) are relevant for discussion within this research channel: | ||
The following researchers are scheduled to present their topics every month: | ||
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- Querying over data on the Web | ||
- Distributed and federated querying over Knowledge Graphs | ||
- Benchmarking query engines for Knowledge Graphs | ||
- Query languages | ||
- Developer Experience | ||
* Ruben Eschauzier - Personalized query optimization in link traversal query processing | ||
* Elias Crum - Storing and querying personal genome data in decentralized environments | ||
* Jonni Hanski - Looking into applying adaptive query processing techniques in link traversal | ||
* Maarten Vandenbrande - Optimizing decentralized querying using solid-aggregators via incremental processing | ||
* Bryan-Elliott Tam - Optimizing Link Traversal querying using explicit data publication structures | ||
* Ruben Taelman - Management + ensuring software architectures meet the requirements of our long-term research questions | ||
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## 📬 Organization | ||
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