5 Search Results for "Hotho, Andreas"


Issue

Transactions on Graph Data and Knowledge, Volume 1, Issue 1

TGDK, Volume 1, Issue 1

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

Special Issue on Trends in Graph Data and Knowledge

Document
Complete Issue
TGDK, Volume 1, Issue 1, Complete Issue

Abstract
TGDK, Volume 1, Issue 1, Complete Issue

Cite as

Transactions on Graph Data and Knowledge (TGDK), Volume 1, Issue 1: Special Issue on Trends in Graph Data and Knowledge, pp. 1-398, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@Article{TGDK.1.1,
  title =	{{TGDK, Volume 1, Issue 1, Complete Issue}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{1--398},
  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},
  URN =		{urn:nbn:de:0030-drops-194738},
  doi =		{10.4230/TGDK.1.1},
  annote =	{Keywords: TGDK, Volume 1, Issue 1, Complete Issue}
}
Document
Front Matter
Front Matter, Table of Contents, List of Authors

Abstract
Front Matter, Table of Contents, List of Authors

Cite as

Transactions on Graph Data and Knowledge (TGDK), Volume 1, Issue 1: Special Issue on Trends in Graph Data and Knowledge, pp. 0:i-0:x, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@Article{TGDK.1.1.0,
  title =	{{Front Matter, Table of Contents, List of Authors}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{0:i--0:x},
  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.1.1.0},
  URN =		{urn:nbn:de:0030-drops-194746},
  doi =		{10.4230/TGDK.1.1.0},
  annote =	{Keywords: Front Matter, Table of Contents, List of Authors}
}
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}
}
Document
08391 Working Group Summary – Analyzing Tag Semantics Across Tagging Systems

Authors: Dominik Benz, Marko Grobelnik, Andreas Hotho, Robert Jäschke, Dunja Mladenic, Vito D. P. Servedio, Sergej Sizov, and Martin Szomszor

Published in: Dagstuhl Seminar Proceedings, Volume 8391, Social Web Communities (2008)


Abstract
The objective of our group was to exploit state-of-the-art Information Retrieval methods for finding associations and dependencies between tags, capturing and representing differences in tagging behavior and vocabulary of various folksonomies, with the overall aim to better understand the semantics of tags and the tagging process. Therefore we analyze the semantic content of tags in the Flickr and Delicious folksonomies. We find that: tag context similarity leads to meaningful results in Flickr, despite its narrow folksonomy character; the comparison of tags across Flickr and Delicious shows little semantic overlap, being tags in Flickr associated more to visual aspects rather than technological as it seems to be in Delicious; there are regions in the tag-tag space, provided with the cosine similarity metric, that are characterized by high density; the order of tags inside a post has a semantic relevance.

Cite as

Dominik Benz, Marko Grobelnik, Andreas Hotho, Robert Jäschke, Dunja Mladenic, Vito D. P. Servedio, Sergej Sizov, and Martin Szomszor. 08391 Working Group Summary – Analyzing Tag Semantics Across Tagging Systems. In Social Web Communities. Dagstuhl Seminar Proceedings, Volume 8391, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)


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@InProceedings{benz_et_al:DagSemProc.08391.6,
  author =	{Benz, Dominik and Grobelnik, Marko and Hotho, Andreas and J\"{a}schke, Robert and Mladenic, Dunja and Servedio, Vito D. P. and Sizov, Sergej and Szomszor, Martin},
  title =	{{08391 Working Group Summary – Analyzing Tag Semantics Across Tagging Systems}},
  booktitle =	{Social Web Communities},
  pages =	{1--15},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8391},
  editor =	{Harith Alani and Steffen Staab and Gerd Stumme},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08391.6},
  URN =		{urn:nbn:de:0030-drops-17854},
  doi =		{10.4230/DagSemProc.08391.6},
  annote =	{Keywords: Social Web Communities, Folksonomy, Tag, Semantics}
}
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