2 Search Results for "Longley, Paul"

Document
Survey
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)

Copy BibTex To Clipboard

@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
Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.43
Towards a Comprehensive Temporal Classification of Footfall Patterns in the Cities of Great Britain (Short Paper)

Authors: Karlo Lugomer and Paul Longley

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
The temporal fluctuations of footfall in the urban areas have long been a neglected research problem, and this mainly has to do with the past technological limitations and inability to consistently collect large volumes of data at fine intra-day temporal resolutions. This paper makes use of the extensive set of footfall measurements acquired by the Wi-Fi sensors installed in the retail units across the British town centres, shopping centres and retail parks. We present the methodology for classifying the diurnal temporal signatures of human activity at the urban microsite locations and identify characteristic profiles which make them distinctive regarding when people visit them. We conclude that there exist significant differences regarding the time when different locations are the busiest during the day, and this undoubtedly has a substantial impact on how retailers should plan where and how their businesses operate.
Cite as

Karlo Lugomer and Paul Longley. Towards a Comprehensive Temporal Classification of Footfall Patterns in the Cities of Great Britain (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 43:1-43:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

Copy BibTex To Clipboard

@InProceedings{lugomer_et_al:LIPIcs.GISCIENCE.2018.43,
  author =	{Lugomer, Karlo and Longley, Paul},
  title =	{{Towards a Comprehensive Temporal Classification of Footfall Patterns in the Cities of Great Britain}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{43:1--43:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.43},
  URN =		{urn:nbn:de:0030-drops-93718},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.43},
  annote =	{Keywords: temporal classification, temporal profiles, time series cluster analysis, Wi-Fi sensors, retail analytics}
}
  • Refine by Author
  • 1 Groener, Gerd
  • 1 Hose, Katja
  • 1 Longley, Paul
  • 1 Lugomer, Karlo
  • 1 Scherp, Ansgar
  • Show More...

  • Refine by Classification
  • 1 Computing methodologies → Knowledge representation and reasoning
  • 1 Computing methodologies → Ontology engineering
  • 1 Information systems → Geographic information systems
  • 1 Information systems → Markup languages
  • 1 Information systems → Semantic web description languages

  • Refine by Keyword
  • 1 Knowledge Graphs
  • 1 Linked Open Data
  • 1 Semantic Web Graphs
  • 1 Wi-Fi sensors
  • 1 retail analytics
  • Show More...

  • Refine by Type
  • 2 document

  • Refine by Publication Year
  • 1 2018
  • 1 2024

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact