6 Search Results for "Tomko, Martin"

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-dev.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
DOI: 10.4230/LIPIcs.COSIT.2022.9
Perceptions of Qualitative Spatial Arrangements of Three Objects

Authors: Ningran Xu, Ivan Majic, and Martin Tomko

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

Abstract
Cognitive grounding of formal models of qualitative spatial relations is important to bridge between spatial data and human perceptions of spatial arrangements. Here, we report on an experimental verification of the cognitive alignment of the recently proposed Ray Intersection Model (RIM) capturing qualitative relationships between three spatial objects, and human perceptions of spatial arrangements through a grouping task. Further, we explore arrangements with an object positioned "between" two other objects. We show that RIM has sufficient expressive power and aligns well with human perceptions of ternary spatial relationships.
Cite as

Ningran Xu, Ivan Majic, and Martin Tomko. Perceptions of Qualitative Spatial Arrangements of Three Objects. In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 9:1-9:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{xu_et_al:LIPIcs.COSIT.2022.9,
  author =	{Xu, Ningran and Majic, Ivan and Tomko, Martin},
  title =	{{Perceptions of Qualitative Spatial Arrangements of Three Objects}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{9:1--9:14},
  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-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.9},
  URN =		{urn:nbn:de:0030-drops-168948},
  doi =		{10.4230/LIPIcs.COSIT.2022.9},
  annote =	{Keywords: Spatial Perception, Qualitative Spatial Relationships, Betweenness, Evaluation, Ternary Relationships}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2022.23
Spatial and Spatiotemporal Matching Framework for Causal Inference (Short Paper)

Authors: Kamal Akbari and Martin Tomko

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

Abstract
Matching is a procedure aimed at reducing the impact of observational data bias in causal analysis. Designing matching methods for spatial data reflecting static spatial or dynamic spatio-temporal processes is complex because of the effects of spatial dependence and spatial heterogeneity. Both may be compounded with temporal lag in the dependency effects on the study units. Current matching techniques based on similarity indexes and pairing strategies need to be extended with optimal spatial matching procedures. Here, we propose a decision framework to support analysts through the choice of existing matching methods and anticipate the development of specialized matching methods for spatial data. This framework thus enables to identify knowledge gaps.
Cite as

Kamal Akbari and Martin Tomko. Spatial and Spatiotemporal Matching Framework for Causal Inference (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 23:1-23:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{akbari_et_al:LIPIcs.COSIT.2022.23,
  author =	{Akbari, Kamal and Tomko, Martin},
  title =	{{Spatial and Spatiotemporal Matching Framework for Causal Inference}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{23:1--23:7},
  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-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.23},
  URN =		{urn:nbn:de:0030-drops-169087},
  doi =		{10.4230/LIPIcs.COSIT.2022.23},
  annote =	{Keywords: Framework, Spatial, Spatiotemporal, Matching, Causal Inference}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2022.24
An Entropy-Based Model for Indoor Self-Localization Through Dialogue (Short Paper)

Authors: Kimia Amoozandeh, Ehsan Hamzei, and Martin Tomko

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

Abstract
People can be localized at a particular location in an indoor environment using verbal descriptions referring to distinct visible objects (e.g., landmarks). When a user provides an incomplete initial location description their location may remain ambiguous. Here, we consider a dialogue initiated to update the initial description, which continues until the updated description can be related to a location in the environment. In each interaction, the wayfinder is incrementally asked about the visibility of a particular object to update the initial description. This paper presents an entropy-based model to minimize the number of interactions. We show how this entropy-based model leads to a significant reduction of interactions (i.e., reduction of conversation length, measured by the number of additional referents) compared to baseline models. Moreover, the effect of the initial description, i.e., the first set of visible objects with different combinations, is investigated.
Cite as

Kimia Amoozandeh, Ehsan Hamzei, and Martin Tomko. An Entropy-Based Model for Indoor Self-Localization Through Dialogue (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 24:1-24:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{amoozandeh_et_al:LIPIcs.COSIT.2022.24,
  author =	{Amoozandeh, Kimia and Hamzei, Ehsan and Tomko, Martin},
  title =	{{An Entropy-Based Model for Indoor Self-Localization Through Dialogue}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{24:1--24:7},
  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-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.24},
  URN =		{urn:nbn:de:0030-drops-169095},
  doi =		{10.4230/LIPIcs.COSIT.2022.24},
  annote =	{Keywords: Indoor self-localization, Dialogue, Entropy}
}
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-dev.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
Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.18
A Critical Look at Cryptogovernance of the Real World: Challenges for Spatial Representation and Uncertainty on the Blockchain (Short Paper)

Authors: Benjamin Adams and Martin Tomko

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

Abstract
Innovation in distributed ledger technologies-blockchains and smart contracts-has been lauded as a game-changer for environmental governance and transparency. Here we critically consider how problems related to spatial representation and uncertainty complicate the picture, focusing on two cases. The first regards the impact of uncertainty on the transfer of spatial assets, and the second regards its impact on smart contract code that relies on software oracles that report sensor measurements of the physical world. Cryptogovernance of the environment will require substantial research on both these fronts if it is to become a reality.
Cite as

Benjamin Adams and Martin Tomko. A Critical Look at Cryptogovernance of the Real World: Challenges for Spatial Representation and Uncertainty on the Blockchain (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 18:1-18:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{adams_et_al:LIPIcs.GISCIENCE.2018.18,
  author =	{Adams, Benjamin and Tomko, Martin},
  title =	{{A Critical Look at Cryptogovernance of the Real World: Challenges for Spatial Representation and Uncertainty on the Blockchain}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{18:1--18:6},
  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-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.18},
  URN =		{urn:nbn:de:0030-drops-93465},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.18},
  annote =	{Keywords: spatial information, spatial uncertainty, blockchain, smart contract, environmental management}
}
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