DMCA
Using Environmental Information Efficiently: Sharing Data And Knowledge From Heterogeneous Sources (2001)
| Venue: | In C. Rautenstrauch & S. Patig (Eds.), Environmental Information Systems in Industry and Public Administration |
| Citations: | 7 - 2 self |
BibTeX
@INPROCEEDINGS{Visser01usingenvironmental,
author = {Ubbo Visser and Heiner Stuckenschmidt and Holger Wache and Thomas Vögele},
title = {Using Environmental Information Efficiently: Sharing Data And Knowledge From Heterogeneous Sources},
booktitle = {In C. Rautenstrauch & S. Patig (Eds.), Environmental Information Systems in Industry and Public Administration},
year = {2001},
pages = {41--73},
publisher = {IDEA Group}
}
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OpenURL
Abstract
Specification -- Topic 11 Open GIS Consortium (OGC) International (OGC, 1999) Recommendations on Metadata (V 2.0) Center for Earth Observation Programme (CEO) EU The Dublin Core, for example, was developed by an international working group of librarians to organize electronic libraries (Weibel, Godby, Miller, & Daniel, 1995), (Weibel, 1999). Since 1996, the Dublin Core provides a set of 15 core meta data elements that can be extended to fulfill the needs of specific user communities. The intended coarseness with which the Dublin Core offers a compromise between thorough but expensive manual annotation and error prone but cheap automatic indication, has led to it's widespread acceptance. Further leading the use of this standard in an number of formal resource description communities such as museums, libraries, government agencies, commercial organizations, and the environmental community. An example for meta data standards that originated in the environmental community and we...
Keyphrases
knowledge heterogeneous source dublin core sharing data environmental information efficiently environmental community core meta data element open gi consortium widespread acceptance specification topic electronic library earth observation programme intended coarseness government agency formal resource description community commercial organization meta data standard error prone expensive manual annotation specific user community cheap automatic indication
