3 Search Results for "Yoneki, Eiko"

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DOI: 10.4230/TGDK.2.1.3
Semantic Web: Past, Present, and Future

Authors: Ansgar Scherp, Gerd Groener, Petr Škoda, Katja Hose, and Maria-Esther Vidal

Published in: TGDK, Volume 2, Issue 1 (2024): Special Issue on Trends in Graph Data and Knowledge - Part 2. Transactions on Graph Data and Knowledge, Volume 2, Issue 1

Abstract
Ever since the vision was formulated, the Semantic Web has inspired many generations of innovations. Semantic technologies have been used to share vast amounts of information on the Web, enhance them with semantics to give them meaning, and enable inference and reasoning on them. Throughout the years, semantic technologies, and in particular knowledge graphs, have been used in search engines, data integration, enterprise settings, and machine learning. In this paper, we recap the classical concepts and foundations of the Semantic Web as well as modern and recent concepts and applications, building upon these foundations. The classical topics we cover include knowledge representation, creating and validating knowledge on the Web, reasoning and linking, and distributed querying. We enhance this classical view of the so-called "Semantic Web Layer Cake" with an update of recent concepts that include provenance, security and trust, as well as a discussion of practical impacts from industry-led contributions. We conclude with an outlook on the future directions of the Semantic Web. This is a living document. If you like to contribute, please contact the first author and visit: https://github.com/ascherp/semantic-web-primer
Cite as

Ansgar Scherp, Gerd Groener, Petr Škoda, Katja Hose, and Maria-Esther Vidal. Semantic Web: Past, Present, and Future. In Special Issue on Trends in Graph Data and Knowledge - Part 2. Transactions on Graph Data and Knowledge (TGDK), Volume 2, Issue 1, pp. 3:1-3:37, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{scherp_et_al:TGDK.2.1.3,
  author =	{Scherp, Ansgar and Groener, Gerd and \v{S}koda, Petr and Hose, Katja and Vidal, Maria-Esther},
  title =	{{Semantic Web: Past, Present, and Future}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{3:1--3:37},
  ISSN =	{2942-7517},
  year =	{2024},
  volume =	{2},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.2.1.3},
  URN =		{urn:nbn:de:0030-drops-198607},
  doi =		{10.4230/TGDK.2.1.3},
  annote =	{Keywords: Linked Open Data, Semantic Web Graphs, Knowledge Graphs}
}
Document
DOI: 10.4230/DagRep.4.11.59
Systems and Algorithms for Large-scale Graph Analytics (Dagstuhl Seminar 14462)

Authors: Eiko Yoneki, Amitabha Roy, and Derek Murray

Published in: Dagstuhl Reports, Volume 4, Issue 11 (2015)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 14462 "Systems and Algorithms for Large-scale Graph Analytics". The seminar was a successful gathering of computer scientists from the domains of systems, algorithms, architecture and databases all of whom are interested in graph processing.
Cite as

Eiko Yoneki, Amitabha Roy, and Derek Murray. Systems and Algorithms for Large-scale Graph Analytics (Dagstuhl Seminar 14462). In Dagstuhl Reports, Volume 4, Issue 11, pp. 59-77, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@Article{yoneki_et_al:DagRep.4.11.59,
  author =	{Yoneki, Eiko and Roy, Amitabha and Murray, Derek},
  title =	{{Systems and Algorithms for Large-scale Graph Analytics (Dagstuhl Seminar 14462)}},
  pages =	{59--77},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2015},
  volume =	{4},
  number =	{11},
  editor =	{Yoneki, Eiko and Roy, Amitabha and Murray, Derek},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.4.11.59},
  URN =		{urn:nbn:de:0030-drops-49700},
  doi =		{10.4230/DagRep.4.11.59},
  annote =	{Keywords: Large-scale graph processing, Graph structured data, Database, Graph algorithms, Parallel I/O, Parallel programming, Storage, Distributed systems, GPU}
}
Document
DOI: 10.4230/DagSemProc.09071.4
Wireless Epidemic Spread in Dynamic Human Networks

Authors: Eiko Yoneki, Pan Hui, and Jon Crowcroft

Published in: Dagstuhl Seminar Proceedings, Volume 9071, Delay and Disruption-Tolerant Networking (DTN) II (2009)

Abstract
The emergence of Delay Tolerant Networks (DTNs) has culminated in a new generation of wireless networking. New communication paradigms, which use dynamic interconnectedness as people encounter each other opportunistically, lead towards a world where digital traffic flows more easily. We focus on humanto- human communication in environments that exhibit the characteristics of social networks. This paper describes our study of information flow during epidemic spread in such dynamic human networks, a topic which shares many issues with network-based epidemiology. We explore hub nodes extracted from real world connectivity traces and show their influence on the epidemic to demonstrate the characteristics of information propagation.
Cite as

Eiko Yoneki, Pan Hui, and Jon Crowcroft. Wireless Epidemic Spread in Dynamic Human Networks. In Delay and Disruption-Tolerant Networking (DTN) II. Dagstuhl Seminar Proceedings, Volume 9071, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{yoneki_et_al:DagSemProc.09071.4,
  author =	{Yoneki, Eiko and Hui, Pan and Crowcroft, Jon},
  title =	{{Wireless Epidemic Spread in Dynamic Human Networks}},
  booktitle =	{Delay and Disruption-Tolerant Networking (DTN) II},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9071},
  editor =	{Kevin Fall and Cecilia Mascolo and J\"{o}rg Ott and Lars Wolf},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09071.4},
  URN =		{urn:nbn:de:0030-drops-23585},
  doi =		{10.4230/DagSemProc.09071.4},
  annote =	{Keywords: Time Dependent Networks, Connectivity Modelling and Analysis, Network Measurement, Delay Tolerant Networks, Social Networks}
}
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