Volume

Dagstuhl Seminar Proceedings, Volume 9161

Publication Details

  • published at: 2009-09-21
  • Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik

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Document
DOI: 10.4230/DagSemProc.09161.1
09161 Abstracts Collection – Generalization of spatial information

Authors: Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom

Abstract
From 13.04. to 17.04.2009, the Dagstuhl Seminar 09161 ``Generalization of spatial information '' 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

Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom. 09161 Abstracts Collection – Generalization of spatial information. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{mustiere_et_al:DagSemProc.09161.1,
  author =	{Musti\`{e}re, S\'{e}bastien and Sester, Monika and van Harmelen, Frank and van Oosterom, Peter},
  title =	{{09161 Abstracts Collection – Generalization of spatial information }},
  booktitle =	{Generalization of spatial information},
  pages =	{1--18},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.1},
  URN =		{urn:nbn:de:0030-drops-21506},
  doi =		{10.4230/DagSemProc.09161.1},
  annote =	{Keywords: Spatial information, generalization, aggregation, web services, formal semantics, geo-ontology, user context, constraint specification, progressive data transfer, computational geometry, cartography, mobile systems}
}
Document
DOI: 10.4230/DagSemProc.09161.2
09161 Summary – Generalization of spatial information

Authors: Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom

Abstract
From the early start of handling geo-information in a digital environments, it has been attempted to automate the process of generalization of geographic information. Traditionally for the production of different map scale series, but more and more also in other contexts, such as the desktop/web /mobile use of geo-information, in order to allow to process, handle and understand possibly huge masses of data. Generalization is the process responsible for generating visualizations or geographic databases at coarser levels-of-detail than the original source database, while retaining essential characteristics of the underlying geographic information.
Cite as

Sébastien Mustière, Monika Sester, Frank van Harmelen, and Peter van Oosterom. 09161 Summary – Generalization of spatial information. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{mustiere_et_al:DagSemProc.09161.2,
  author =	{Musti\`{e}re, S\'{e}bastien and Sester, Monika and van Harmelen, Frank and van Oosterom, Peter},
  title =	{{09161 Summary – Generalization of spatial information }},
  booktitle =	{Generalization of spatial information},
  pages =	{1--20},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.2},
  URN =		{urn:nbn:de:0030-drops-21397},
  doi =		{10.4230/DagSemProc.09161.2},
  annote =	{Keywords: Spatial information, generalization, aggregation, web services, formal semantics, geo-ontology, user context, constraint specification, progressive data transfer, computational geometry, cartography, mobile systems}
}
Document
DOI: 10.4230/DagSemProc.09161.3
Applying DLM and DCM concepts in a multi-scale environment

Authors: Peter van Oosterom and Martijn Meijers

Abstract
Although the separation between Digital Landscape Model (DLM) and Digital Cartographic Model (DCM) is considered as state of the art, data producers, like national mapping agencies, still wrestle with the question what to store explicitly in order to efficiently maintain their geographic databases and maps. In this discussion/presentation we will try to show that explicit storage of both models, up to the data instance level, leads to more redundancy in multi-scale data models and makes it more difficult to manage geographic databases. To streamline the process of data production for both analysis and map making purposes, we propose to maintain only the data instances of the DLM, including minor ‘distortions’ to apply visualization rules easier, and to investigate variable scale data storage.
Cite as

Peter van Oosterom and Martijn Meijers. Applying DLM and DCM concepts in a multi-scale environment. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{vanoosterom_et_al:DagSemProc.09161.3,
  author =	{van Oosterom, Peter and Meijers, Martijn},
  title =	{{Applying DLM and DCM concepts in a multi-scale environment}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.3},
  URN =		{urn:nbn:de:0030-drops-21353},
  doi =		{10.4230/DagSemProc.09161.3},
  annote =	{Keywords: DCM (Digital Cartographic Model), DLM (Digital Landscape Model), multi-scale, vario-scale, data management}
}
Document
DOI: 10.4230/DagSemProc.09161.4
Cartographic and semantic aspects on web services

Authors: Lars Harrie and Heiner Stuckenschmidt

Abstract
Several countries are currently working on setting up geoportals as part of their national spatial data infrastructure (SDI) (and this is also a requirement of the Inspire initiative). A key ability of these geoportals is that the user should be able to view (and download) data from several sources from one access point. This will certainly make the access to geospatial data easier. However, there are also cartographic and semantic challenges that have to be solved. In this discussion group we discussed some topics concerning both download services and view services and some possible solutions.
Cite as

Lars Harrie and Heiner Stuckenschmidt. Cartographic and semantic aspects on web services. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{harrie_et_al:DagSemProc.09161.4,
  author =	{Harrie, Lars and Stuckenschmidt, Heiner},
  title =	{{Cartographic and semantic aspects on web services}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.4},
  URN =		{urn:nbn:de:0030-drops-21345},
  doi =		{10.4230/DagSemProc.09161.4},
  annote =	{Keywords: Geopertals, integration, semantic technologies}
}
Document
DOI: 10.4230/DagSemProc.09161.5
Methods to Measure Map Readability

Authors: Lars Harrie

Abstract
Creation of maps in real-time web services introduces challenges concerning map readability. Therefore we must introduce analytical measures controlling the readability. The aim of this study is to develop and evaluate analytical readability measures with the help of user tests.
Cite as

Lars Harrie. Methods to Measure Map Readability. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{harrie:DagSemProc.09161.5,
  author =	{Harrie, Lars},
  title =	{{Methods to Measure Map Readability}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.5},
  URN =		{urn:nbn:de:0030-drops-21373},
  doi =		{10.4230/DagSemProc.09161.5},
  annote =	{Keywords: Map readability, generalization, web map services}
}
Document
DOI: 10.4230/DagSemProc.09161.6
Spatial Reasoning for the Semantic Web - Use Cases and Technological Challenges

Authors: Heiner Stuckenschmidt

Abstract
The goal of semantic web research is to turn the World-Wide Web into a Web of Data that can be processed automatically to a much larger extend than possible with traditional web technology. Important features of the solution currently being developed is the ability to link data from from different sources and to provide formal definitions of the intended meaning of the terminology used in different sources as a basis for deriving implicit information and for conflict detection. Both requires the ability to reason about the definition of terms. With the development of OWL as the standard language for representing terminological knowledge, reasoning in description logics has been determined as the major technique for performing this reasoning cite{OWLreasoning}. More recently, rule languages have gained more importance as well as they have been shown to be more suited for efficient reasoning about terminology and data at the same time. So far little attention has been paid to the problem of representing and reasoning about space and time on the semantic web. In particular, existing semantic web languages are not well suited for representing these aspects as they require to operate over metric spaces that behave fundamentally different from the abstract interpretation domains description logics are based on. Nevertheless, there is a strong need to integrate reasoning about space and time into existing semantic web technologies especially because more and more data available on the web has a references to space and time. Images taken by digital cameras are a good example of such data as they come with a time stamp and geographic coordinates. In this paper, we concentrate on spatial aspects and discuss different use case for reasoning about spatial aspects on the (semantic) web and possible technological solutions for these use cases. Based on these discussions we conclude that the actual open problem is not existing technologies for terminological or spatial reasoning, but the lack of an established mechanism for combining the two.
Cite as

Heiner Stuckenschmidt. Spatial Reasoning for the Semantic Web - Use Cases and Technological Challenges. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{stuckenschmidt:DagSemProc.09161.6,
  author =	{Stuckenschmidt, Heiner},
  title =	{{Spatial Reasoning for the Semantic Web - Use Cases and Technological Challenges}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--7},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.6},
  URN =		{urn:nbn:de:0030-drops-21386},
  doi =		{10.4230/DagSemProc.09161.6},
  annote =	{Keywords: Semantic Web, Spatial reasoning}
}
Document
DOI: 10.4230/DagSemProc.09161.7
Why Is Cartographic Generalization So Hard?

Authors: Andrew U. Frank

Abstract
I remember first presentations about cartographic generalizations (Spiess 1971), where tools for generalization were shown, but the conclusions stated, more or less clearly, that fully automated cartographic generalization was not possible. There has been an impressive stream of research documenting methods to generalize maps. The consensus today seems to be that automated tools under control of a cartographer are the most effective means (Buttenfield et al. 1991; Weibel 1995). In this contribution some fundamental aspects of map making, including generalizations are analyzed. Map generalization is studied by most map producers, especially the National Mapping Agencies, because they have to maintain maps at different scale and it appears economical to derive a map at smaller from a map of a larger scale by an automated process. Equally important is the production of maps at arbitrary scales for the illustration of web pages. These tasks are the backdrop for the following abstract analysis.
Cite as

Andrew U. Frank. Why Is Cartographic Generalization So Hard?. In Generalization of spatial information. Dagstuhl Seminar Proceedings, Volume 9161, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{frank:DagSemProc.09161.7,
  author =	{Frank, Andrew U.},
  title =	{{Why Is Cartographic Generalization So Hard?}},
  booktitle =	{Generalization of spatial information},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9161},
  editor =	{S\'{e}bastien Musti\`{e}re and Monika Sester and Frank van Harmelen and Peter van Oosterom},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09161.7},
  URN =		{urn:nbn:de:0030-drops-21363},
  doi =		{10.4230/DagSemProc.09161.7},
  annote =	{Keywords: Cartographic Generalization, AI-Hard, NP-Hard}
}

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  • F
  • Frank, Andrew U.
  • H
  • Harrie, Lars
  • M
  • Meijers, Martijn
  • Mustière, Sébastien
  • S
  • Sester, Monika
  • Stuckenschmidt, Heiner
  • V
  • van Harmelen, Frank
  • van Oosterom, Peter

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