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Documents authored by Winter, Stephan

Document
DOI: 10.4230/DagRep.12.4.26
Urban Mobility Analytics (Dagstuhl Seminar 22162)

Authors: David Jonietz, Monika Sester, Kathleen Stewart, Stephan Winter, Martin Tomko, and Yanan Xin

Published in: Dagstuhl Reports, Volume 12, Issue 4 (2022)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 22162 "Urban Mobility Analytics". The seminar brought together researchers from academia and industry who work in complementary ways on urban mobility analytics. The seminar especially aimed at bringing together ideas and approaches from deep learning research, which is requiring large datasets, and reproducible research, which is requiring access to data.
Cite as

David Jonietz, Monika Sester, Kathleen Stewart, Stephan Winter, Martin Tomko, and Yanan Xin. Urban Mobility Analytics (Dagstuhl Seminar 22162). In Dagstuhl Reports, Volume 12, Issue 4, pp. 26-53, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Article{jonietz_et_al:DagRep.12.4.26,
  author =	{Jonietz, David and Sester, Monika and Stewart, Kathleen and Winter, Stephan and Tomko, Martin and Xin, Yanan},
  title =	{{Urban Mobility Analytics (Dagstuhl Seminar 22162)}},
  pages =	{26--53},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{12},
  number =	{4},
  editor =	{Jonietz, David and Sester, Monika and Stewart, Kathleen and Winter, Stephan and Tomko, Martin and Xin, Yanan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.4.26},
  URN =		{urn:nbn:de:0030-drops-172792},
  doi =		{10.4230/DagRep.12.4.26},
  annote =	{Keywords: data analytics, Deep learning, Reproducible research, urban mobility}
}
Document
Complete Volume
DOI: 10.4230/LIPIcs.COSIT.2022
LIPIcs, Volume 240, COSIT 2022, Complete Volume

Authors: Toru Ishikawa, Sara Irina Fabrikant, and Stephan Winter

Published in: LIPIcs, Volume 240, 15th International Conference on Spatial Information Theory (COSIT 2022)

Abstract
LIPIcs, Volume 240, COSIT 2022, Complete Volume
Cite as

15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 1-316, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Proceedings{ishikawa_et_al:LIPIcs.COSIT.2022,
  title =	{{LIPIcs, Volume 240, COSIT 2022, Complete Volume}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{1--316},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-257-0},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{240},
  editor =	{Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022},
  URN =		{urn:nbn:de:0030-drops-168842},
  doi =		{10.4230/LIPIcs.COSIT.2022},
  annote =	{Keywords: LIPIcs, Volume 240, COSIT 2022, Complete Volume}
}
Document
Front Matter
DOI: 10.4230/LIPIcs.COSIT.2022.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Toru Ishikawa, Sara Irina Fabrikant, and Stephan Winter

Published in: LIPIcs, Volume 240, 15th International Conference on Spatial Information Theory (COSIT 2022)

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 0:i-0:x, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{ishikawa_et_al:LIPIcs.COSIT.2022.0,
  author =	{Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{0:i--0:x},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-257-0},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{240},
  editor =	{Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.0},
  URN =		{urn:nbn:de:0030-drops-168854},
  doi =		{10.4230/LIPIcs.COSIT.2022.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
DOI: 10.4230/LIPIcs.GIScience.2021.I.1
Using Georeferenced Twitter Data to Estimate Pedestrian Traffic in an Urban Road Network

Authors: Debjit Bhowmick, Stephan Winter, and Mark Stevenson

Published in: LIPIcs, Volume 177, 11th International Conference on Geographic Information Science (GIScience 2021) - Part I (2020)

Abstract
Since existing methods to estimate the pedestrian activity in an urban area are data-intensive, we ask the question whether just georeferenced Twitter data can be a viable proxy for inferring pedestrian activity. Walking is often the mode of the last leg reaching an activity location, from where, presumably, the tweets originate. This study analyses this question in three steps. First, we use correlation analysis to assess whether georeferenced Twitter data can be used as a viable proxy for inferring pedestrian activity. Then we adopt standard regression analysis to estimate pedestrian traffic at existing pedestrian sensor locations using georeferenced tweets alone. Thirdly, exploiting the results above, we estimate the hourly pedestrian traffic counts at every segment of the study area network for every hour of every day of the week. Results show a fair correlation between tweets and pedestrian counts, in contrast to counts of other modes of travelling. Thus, this method contributes a non-data-intensive approach for estimating pedestrian activity. Since Twitter is an omnipresent, publicly available data source, this study transcends the boundaries of geographic transferability and scalability, unlike its more traditional counterparts.
Cite as

Debjit Bhowmick, Stephan Winter, and Mark Stevenson. Using Georeferenced Twitter Data to Estimate Pedestrian Traffic in an Urban Road Network. In 11th International Conference on Geographic Information Science (GIScience 2021) - Part I. Leibniz International Proceedings in Informatics (LIPIcs), Volume 177, pp. 1:1-1:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{bhowmick_et_al:LIPIcs.GIScience.2021.I.1,
  author =	{Bhowmick, Debjit and Winter, Stephan and Stevenson, Mark},
  title =	{{Using Georeferenced Twitter Data to Estimate Pedestrian Traffic in an Urban Road Network}},
  booktitle =	{11th International Conference on Geographic Information Science (GIScience 2021) - Part I},
  pages =	{1:1--1:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-166-5},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{177},
  editor =	{Janowicz, Krzysztof and Verstegen, Judith A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2021.I.1},
  URN =		{urn:nbn:de:0030-drops-130367},
  doi =		{10.4230/LIPIcs.GIScience.2021.I.1},
  annote =	{Keywords: Twitter, pedestrian traffic, location-based, regression analysis, correlation analysis}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2019.12
Initial Analysis of Simple Where-Questions and Human-Generated Answers (Short Paper)

Authors: Ehsan Hamzei, Stephan Winter, and Martin Tomko

Published in: LIPIcs, Volume 142, 14th International Conference on Spatial Information Theory (COSIT 2019)

Abstract
Geographic questions are among the most frequently asked questions in Web search and question answering systems. While currently responses to the questions are machine-generated by document/snippet retrieval, in the future these responses will need to become more similar to answers provided by humans. Here, we have analyzed human answering behavior as response to simple where questions (i.e., where questions formulated only with one toponym) in terms of type, scale, and prominence of the places referred to. We have used the largest available machine comprehension dataset, MS-MARCO v2.1. This study uses an automatic approach for extraction, encoding and analysis of the questions and answers. Here, the distribution analysis are used to describe the relation between questions and their answers. The results of this study can inform the design of automatic question answering systems for generating useful responses to where questions.
Cite as

Ehsan Hamzei, Stephan Winter, and Martin Tomko. Initial Analysis of Simple Where-Questions and Human-Generated Answers (Short Paper). In 14th International Conference on Spatial Information Theory (COSIT 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 142, pp. 12:1-12:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{hamzei_et_al:LIPIcs.COSIT.2019.12,
  author =	{Hamzei, Ehsan and Winter, Stephan and Tomko, Martin},
  title =	{{Initial Analysis of Simple Where-Questions and Human-Generated Answers}},
  booktitle =	{14th International Conference on Spatial Information Theory (COSIT 2019)},
  pages =	{12:1--12:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-115-3},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{142},
  editor =	{Timpf, Sabine and Schlieder, Christoph and Kattenbeck, Markus and Ludwig, Bernd and Stewart, Kathleen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2019.12},
  URN =		{urn:nbn:de:0030-drops-111049},
  doi =		{10.4230/LIPIcs.COSIT.2019.12},
  annote =	{Keywords: question answering, scale, prominence, where-questions}
}
Document
Complete Volume
DOI: 10.4230/LIPIcs.GIScience.2018
LIPIcs, Volume 114, GIScience'18, Complete Volume

Authors: Stephan Winter, Amy Griffin, and Monika Sester

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

Abstract
LIPIcs, Volume 114, GIScience'18, Complete Volume
Cite as

10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Proceedings{winter_et_al:LIPIcs.GIScience.2018,
  title =	{{LIPIcs, Volume 114, GIScience'18, Complete Volume}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  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},
  URN =		{urn:nbn:de:0030-drops-97424},
  doi =		{10.4230/LIPIcs.GIScience.2018},
  annote =	{Keywords: Information systems, Location based services, Geographic information systems, Personalization}
}
Document
Front Matter
DOI: 10.4230/LIPIcs.GISCIENCE.2018.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Stephan Winter, Amy Griffin, and Monika Sester

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

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 0:i-0:xvi, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{winter_et_al:LIPIcs.GISCIENCE.2018.0,
  author =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{0:i--0:xvi},
  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.2018.0},
  URN =		{urn:nbn:de:0030-drops-93282},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
DOI: 10.4230/DagRep.3.12.97
Social Issues in Computational Transportation Science (Dagstuhl Seminar 13512)

Authors: Glenn Geers, Monika Sester, Stephan Winter, and Ouri E. Wolfson

Published in: Dagstuhl Reports, Volume 3, Issue 12 (2014)

Abstract
The Dagstuhl Seminar, "Social Issues in Computational Transportation Science" (13512) took place from 15 to 19 December 2103, attracting 27 participants active in a wide range of academic, commercial, and public sector areas. CTS is an emerging discipline that combines advances in computer science and engineering with the modeling, planning, social, and economic aspects of transportation in order to improve the safety, mobility, and sustainability of transportation systems. The aim of this seminar was to focus on the social computing aspects of CTS, including such areas as social networks and crowd-sourcing for transportation, as well as the integration of persuasive technologies and behavioral economics in social computing. In their time at the workshop, participants discussed and debated these and other topics, as shown in the workshop's summary report.
Cite as

Glenn Geers, Monika Sester, Stephan Winter, and Ouri E. Wolfson. Social Issues in Computational Transportation Science (Dagstuhl Seminar 13512). In Dagstuhl Reports, Volume 3, Issue 12, pp. 97-124, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@Article{geers_et_al:DagRep.3.12.97,
  author =	{Geers, Glenn and Sester, Monika and Winter, Stephan and Wolfson, Ouri E.},
  title =	{{Social Issues in Computational Transportation Science (Dagstuhl Seminar 13512)}},
  pages =	{97--124},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{3},
  number =	{12},
  editor =	{Geers, Glenn and Sester, Monika and Winter, Stephan and Wolfson, Ouri E.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.3.12.97},
  URN =		{urn:nbn:de:0030-drops-45098},
  doi =		{10.4230/DagRep.3.12.97},
  annote =	{Keywords: Computational Transportation Science}
}
Document
DOI: 10.4230/DagSemProc.10131.4
Interpreting Place Descriptions for Navigation Services

Authors: Yunhui Wu and Stephan Winter

Published in: Dagstuhl Seminar Proceedings, Volume 10131, Spatial Representation and Reasoning in Language : Ontologies and Logics of Space (2011)

Abstract
We see a need for research bringing spatial intelligence into the fundamental mechanisms of parsing and interpreting place descriptions. An intelligent navigation service will have capabilities to imitate human route communication behavior (Winter and Wu, 2009), thus, at least the capabilities to make sense of place descriptions.
Cite as

Yunhui Wu and Stephan Winter. Interpreting Place Descriptions for Navigation Services. In Spatial Representation and Reasoning in Language : Ontologies and Logics of Space. Dagstuhl Seminar Proceedings, Volume 10131, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

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@InProceedings{wu_et_al:DagSemProc.10131.4,
  author =	{Wu, Yunhui and Winter, Stephan},
  title =	{{Interpreting Place Descriptions for Navigation Services}},
  booktitle =	{Spatial Representation and Reasoning in Language : Ontologies and Logics of Space},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10131},
  editor =	{John A. Bateman and Anthony G. Cohn and James Pustejovsky},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10131.4},
  URN =		{urn:nbn:de:0030-drops-27302},
  doi =		{10.4230/DagSemProc.10131.4},
  annote =	{Keywords: Place descriptions, natural language, navigation}
}
Document
DOI: 10.4230/DagSemProc.10121.1
10121 Abstracts Collection – Computational Transportation Science

Authors: Glenn Geers, Monika Sester, Stephan Winter, and Ouri Wolfson

Published in: Dagstuhl Seminar Proceedings, Volume 10121, Computational Transportation Science (2010)

Abstract
From 21.03. to 26.03.2010, the Dagstuhl Seminar 10121 ``Computational Transportation Science '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Glenn Geers, Monika Sester, Stephan Winter, and Ouri Wolfson. 10121 Abstracts Collection – Computational Transportation Science. In Computational Transportation Science. Dagstuhl Seminar Proceedings, Volume 10121, pp. 1-8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{geers_et_al:DagSemProc.10121.1,
  author =	{Geers, Glenn and Sester, Monika and Winter, Stephan and Wolfson, Ouri},
  title =	{{10121 Abstracts Collection – Computational Transportation Science}},
  booktitle =	{Computational Transportation Science},
  pages =	{1--8},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10121},
  editor =	{Glenn Geers and Monika Sester and Stephan Winter and Ouri E. Wolfson},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10121.1},
  URN =		{urn:nbn:de:0030-drops-27235},
  doi =		{10.4230/DagSemProc.10121.1},
  annote =	{Keywords: Computational Transportation Science}
}
Document
DOI: 10.4230/DagSemProc.10121.2
10121 Report – Towards a Computational Transportation Science

Authors: Glenn Geers, Monika Sester, Stephan Winter, and Ouri Wolfson

Published in: Dagstuhl Seminar Proceedings, Volume 10121, Computational Transportation Science (2010)

Abstract
In the near future, vehicles, travelers, and the infrastructure will collectively have billions of sensors that can communicate with each other. This environment will enable numerous novel applications and order of magnitude improvements in the performance of existing applications. However, information technology (IT) has not had the dramatic impact on day-to-day transportation that it has had on other domains such as business and science. In terms of the real-time information available to most travelers, with the exception of car navigation systems, the transportation experience has not changed much in the last 30-40 years. During this same time, the miniaturization of computing devices and advances in wireless communication and sensor technology have been propagating computing from the stationary desktop to the mobile outdoors, and making it ubiquitous. Future transportation systems, due to their distributed/mobile nature, can become the ultimate test-bed for this ubiquitous (i.e., embedded, highly-distributed, and sensor-laden) computing environment of unprecedented scale. Information technology is the foundation for implementing new transportation control and management strategies, particularly if they are to be made available in real-time to wireless devices such as cell phones and PDAs, traffic lights or dynamic signs. A related development is the emergence of increasingly more sophisticated geospatial (including spatiotemporal) information management capabilities.
Cite as

Glenn Geers, Monika Sester, Stephan Winter, and Ouri Wolfson. 10121 Report – Towards a Computational Transportation Science. In Computational Transportation Science. Dagstuhl Seminar Proceedings, Volume 10121, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{geers_et_al:DagSemProc.10121.2,
  author =	{Geers, Glenn and Sester, Monika and Winter, Stephan and Wolfson, Ouri},
  title =	{{10121 Report – Towards a  Computational Transportation Science}},
  booktitle =	{Computational Transportation Science},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10121},
  editor =	{Glenn Geers and Monika Sester and Stephan Winter and Ouri E. Wolfson},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10121.2},
  URN =		{urn:nbn:de:0030-drops-27222},
  doi =		{10.4230/DagSemProc.10121.2},
  annote =	{Keywords: Computational Transportation Science}
}
Document
DOI: 10.4230/DagSemProc.05491.4
A Cognitive Perspective on Spatial Context

Authors: Christian Freksa, Alexander Klippel, and Stephan Winter

Published in: Dagstuhl Seminar Proceedings, Volume 5491, Spatial Cognition: Specialization and Integration (2007)

Abstract
This paper develops a representation-theoretic notion of spatial context for cognitive agents interacting with spatial environments. We discuss the current state of the art in defining context as used in context-aware and/or location- aware systems. In contrast to existing approaches, we define context through cognitive processes. The term "invisible geography" alludes to the fact that knowledge about geographic space develops through complex cognitive interaction and is not simply "out there" to be looked at. Placing (cognitive) processes in the focus of our context definition allows for a truly user-centered perspective: conceptualizations imbue spatial structures with meaning. This allows for fixing terminological problems and relating context definitions to work in spatial information theory and cognitive science. Although we focus on spatial context, the approach is generic and can be adapted to other domains in which cognitive aspects concerning users of information systems are central.
Cite as

Christian Freksa, Alexander Klippel, and Stephan Winter. A Cognitive Perspective on Spatial Context. In Spatial Cognition: Specialization and Integration. Dagstuhl Seminar Proceedings, Volume 5491, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{freksa_et_al:DagSemProc.05491.4,
  author =	{Freksa, Christian and Klippel, Alexander and Winter, Stephan},
  title =	{{A Cognitive Perspective on Spatial Context}},
  booktitle =	{Spatial Cognition: Specialization and Integration},
  pages =	{1--16},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{5491},
  editor =	{Anthony G. Cohn and Christian Freksa and Bernhard Nebel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05491.4},
  URN =		{urn:nbn:de:0030-drops-9804},
  doi =		{10.4230/DagSemProc.05491.4},
  annote =	{Keywords: Representation theory, spatial context, location aware systems}
}
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