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Transactions on Graph Data and Knowledge

Authors Aidan Hogan , Ian Horrocks , Andreas Hotho , Lalana Kagal



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Author Details

Aidan Hogan
  • DCC, Universidad de Chile, IMFD, Chile
Ian Horrocks
  • University of Oxford, U.K.
Andreas Hotho
  • Department of Informatics, University of Würzburg, Germany
Lalana Kagal
  • Massachusetts Institute of Technology, Cambridge, MA, USA

Acknowledgements

We warmly thank Dagstuhl Publishing for their continued collaboration, the Semantic Web Science Association (SWSA) for their support, our colleagues on the SWSA Task Force who helped to plan this new journal, as well as our Advisory and Editorial Boards for their contributions towards getting the journal up and running and ensuring its continued operation and development.

Cite AsGet BibTex

Aidan Hogan, Ian Horrocks, Andreas Hotho, and Lalana Kagal. Transactions on Graph Data and Knowledge. In Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge (TGDK), Volume 1, Issue 1, pp. 1:1-1:4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/TGDK.1.1.1

Abstract

Transactions on Graph Data and Knowledge (TGDK) is a new journal publishing peer-reviewed research on graph-based abstractions for data and knowledge, as well as the techniques, theories, applications and results that arise in this setting. TGDK is a community-run, Diamond Open Access journal, meaning that papers are published openly on the Web without fees for authors or readers. In this preface, we provide some brief remarks about the rationale and goals of the new journal, followed by an introduction to its inaugural issue, entitled "Trends in Graph Data and Knowledge", which collects together 12 diverse vision, position and survey papers on the types of research topics that exemplify the scope of this new journal.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Knowledge representation and reasoning
  • Information systems → Semantic web description languages
  • Information systems → Graph-based database models
  • Computing methodologies → Machine learning
  • Theory of computation → Graph algorithms analysis
  • Mathematics of computing → Graph theory
Keywords
  • Graphs
  • Data
  • Knowledge

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