DEVELOPING AN SDI FOR TIME-VARIANT AND MULTI- LINGUAL INFORMATION DISSEMINATION AND DATA DISTRIBUTION
The Institute for Geoinformatics (IFGI) of the University of Münster develops an SDI in the context of a research project for the assessment of climate change vulnerabilities in the Arctic. The SDI has to distribute, portray and process spatial-temporal data for multi-lingual stakeholders from diffe...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.473.6325 2023-05-15T14:58:28+02:00 DEVELOPING AN SDI FOR TIME-VARIANT AND MULTI- LINGUAL INFORMATION DISSEMINATION AND DATA DISTRIBUTION Nicole Ostländer The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.6325 http://www.ec-gis.org/Workshops/11ec-gis/papers/304ostlander.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.6325 http://www.ec-gis.org/Workshops/11ec-gis/papers/304ostlander.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.ec-gis.org/Workshops/11ec-gis/papers/304ostlander.pdf SDI OGC multi-lingual internationalisation spatial-temporal data service chain knowledge text ftciteseerx 2016-01-08T07:26:42Z The Institute for Geoinformatics (IFGI) of the University of Münster develops an SDI in the context of a research project for the assessment of climate change vulnerabilities in the Arctic. The SDI has to distribute, portray and process spatial-temporal data for multi-lingual stakeholders from different knowledge communities. This combination of tasks forms a distinctive ground for research questions and resulted in a number of solutions coupled with hands-on experience. Text Arctic Climate change Unknown Arctic |
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Open Polar |
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Unknown |
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ftciteseerx |
language |
English |
topic |
SDI OGC multi-lingual internationalisation spatial-temporal data service chain knowledge |
spellingShingle |
SDI OGC multi-lingual internationalisation spatial-temporal data service chain knowledge Nicole Ostländer DEVELOPING AN SDI FOR TIME-VARIANT AND MULTI- LINGUAL INFORMATION DISSEMINATION AND DATA DISTRIBUTION |
topic_facet |
SDI OGC multi-lingual internationalisation spatial-temporal data service chain knowledge |
description |
The Institute for Geoinformatics (IFGI) of the University of Münster develops an SDI in the context of a research project for the assessment of climate change vulnerabilities in the Arctic. The SDI has to distribute, portray and process spatial-temporal data for multi-lingual stakeholders from different knowledge communities. This combination of tasks forms a distinctive ground for research questions and resulted in a number of solutions coupled with hands-on experience. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Nicole Ostländer |
author_facet |
Nicole Ostländer |
author_sort |
Nicole Ostländer |
title |
DEVELOPING AN SDI FOR TIME-VARIANT AND MULTI- LINGUAL INFORMATION DISSEMINATION AND DATA DISTRIBUTION |
title_short |
DEVELOPING AN SDI FOR TIME-VARIANT AND MULTI- LINGUAL INFORMATION DISSEMINATION AND DATA DISTRIBUTION |
title_full |
DEVELOPING AN SDI FOR TIME-VARIANT AND MULTI- LINGUAL INFORMATION DISSEMINATION AND DATA DISTRIBUTION |
title_fullStr |
DEVELOPING AN SDI FOR TIME-VARIANT AND MULTI- LINGUAL INFORMATION DISSEMINATION AND DATA DISTRIBUTION |
title_full_unstemmed |
DEVELOPING AN SDI FOR TIME-VARIANT AND MULTI- LINGUAL INFORMATION DISSEMINATION AND DATA DISTRIBUTION |
title_sort |
developing an sdi for time-variant and multi- lingual information dissemination and data distribution |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.6325 http://www.ec-gis.org/Workshops/11ec-gis/papers/304ostlander.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_source |
http://www.ec-gis.org/Workshops/11ec-gis/papers/304ostlander.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.6325 http://www.ec-gis.org/Workshops/11ec-gis/papers/304ostlander.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766330569405235200 |