TGDK.2.2.1.pdf
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Resources for Graph Data and Knowledge
Authors
Aidan Hogan 
,
Ian Horrocks ,
Andreas Hotho ,
Lalana Kagal ,
Uli Sattler
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Part of:
Issue:
TGDK, Volume 2, Issue 2
Volume: TGDK, Volume 2
Journal: Transactions on Graph Data and Knowledge (TGDK) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2024-12-18
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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 As Get BibTex
Aidan Hogan, Ian Horrocks, Andreas Hotho, Lalana Kagal, and Uli Sattler. Resources for Graph Data and Knowledge. In Special Issue on Resources for Graph Data and Knowledge. Transactions on Graph Data and Knowledge (TGDK), Volume 2, Issue 2, pp. 1:1-1:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/TGDK.2.2.1
Abstract
In this Special Issue of Transactions on Graph Data and Knowledge - entitled "Resources for Graph Data and Knowledge" - we present eight articles that describe key resources in the area. These resources cover a wide range of topics within the scope of the journal, including graph querying, graph learning, information extraction, and ontologies, addressing applications of knowledge graphs involving art, bibliographical metadata, research reproducibility, and transport networks.
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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