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Documents authored by Kagal, Lalana


Document
Preface
Resources for Graph Data and Knowledge

Authors: Aidan Hogan, Ian Horrocks, Andreas Hotho, Lalana Kagal, and Uli Sattler

Published in: TGDK, Volume 2, Issue 2 (2024): Special Issue on Resources for Graph Data and Knowledge. Transactions on Graph Data and Knowledge, Volume 2, Issue 2


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.

Cite as

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)


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@Article{hogan_et_al:TGDK.2.2.1,
  author =	{Hogan, Aidan and Horrocks, Ian and Hotho, Andreas and Kagal, Lalana and Sattler, Uli},
  title =	{{Resources for Graph Data and Knowledge}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{1:1--1:2},
  ISSN =	{2942-7517},
  year =	{2024},
  volume =	{2},
  number =	{2},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.2.2.1},
  URN =		{urn:nbn:de:0030-drops-225851},
  doi =		{10.4230/TGDK.2.2.1},
  annote =	{Keywords: Graphs, Data, Knowledge}
}
Document
Preface
Transactions on Graph Data and Knowledge

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

Published in: TGDK, Volume 1, Issue 1 (2023): Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge, Volume 1, Issue 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.

Cite as

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)


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@Article{hogan_et_al:TGDK.1.1.1,
  author =	{Hogan, Aidan and Horrocks, Ian and Hotho, Andreas and Kagal, Lalana},
  title =	{{Transactions on Graph Data and Knowledge}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{1:1--1:4},
  ISSN =	{2942-7517},
  year =	{2023},
  volume =	{1},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.1.1.1},
  URN =		{urn:nbn:de:0030-drops-194757},
  doi =		{10.4230/TGDK.1.1.1},
  annote =	{Keywords: Graphs, Data, Knowledge}
}
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