Announcement: Volume 1, Issue 1 of TGDK published

Dear all,

We are very pleased to announce the publication of Volume 1, Issue 1 of 
Transactions on Graph Data and Knowledge (TGDK): a new Diamond Open 
Access journal that does not charge fees to authors or readers. This is 
made possible through the support of SWSA, and the low fees charged by 
Dagstuhl Publishing (the publishers of the journal).

Volume 1, Issue 1 of TGDK is available here:

https://drops.dagstuhl.de/entities/issue/TGDK-volume-1-issue-1

It consists of 12 vision, survey and position papers that have been 
peer-reviewed and cover topics that, in the context of graph data and 
knowledge, include:

* autonomy, accountability and trust
* knowledge engineering
* knowledge evolution
* knowledge graph embeddings
* large language models
* life sciences
* machine learning
* multilinguality & low-resource languages
* ordinal data science
* rule learning
* structural summarization
* .. and more besides.

TGDK is a community-run initiative, and we'd like to take this 
opportunity to warmly thank all those involved in allowing us to reach 
this milestone! We also sincerely thank SWSA and Dagstuhl Publishing for 
their support, as well as the members of the SWSA Task Force who helped 
to set TGDK in motion.

For more information about TGDK, please see:

 https://www.dagstuhl.de/tgdk

Our preface also provides some history and rationale relating to the 
initiation and running of the journal:

 https://drops.dagstuhl.de/storage/08tgdk/tgdk-vol001/tgdk-vol001-issue001/TGDK.1.1.1/TGDK.1.1.1.pdf


We hope you find interesting reading in the first issue of TGDK!


Best regards,
  Aidan Hogan, Ian Horrocks, Andreas Hotho, Lalana Kagal
  TGDK Inaugural Editors-in-Chief

Received on Tuesday, 19 December 2023 21:59:09 UTC