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Dirk Balfanz

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Proceedings Article | 12 March 2002 Paper

Automated geodata analysis and metadata generation

Dirk Balfanz

Proceedings Volume 4665, (2002) https://doi.org/10.1117/12.458797

KEYWORDS: Visualization, Mining, Data modeling, Data acquisition, Data processing, Geographic information systems, Chemical elements, Data mining, Data analysis, Standards development

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With the shift from production to information society, a parallel development has taken place in processing geo information. Today, the focus is often more on intelligent and complex use and analysis of existing data than on data acquisition. The tasks of users now are to find appropriate data, as well as appropriate analysis or mining methods, for their specific exploration goals. This paper first presents an integrated approach that uses metadata technology to guide users through data and method selection. Important prerequisites in the decision process are the user's correct understanding of geodata qualities and, to this end, the availability of metadata. Therefore, the core of the presented approach is then described in detail, i.e. metadata visualization and generation. The visualization part aims to make the user aware of the goal-related geodata qualities. It consists of an automated semantic level-of-detail method, using abstraction hierarchies and linked visualization functions. The underlying metadata is provided via a repository-based generator, which creates descriptive metadata by analysis and interpretation of the original geodata. Finally, an outlook over the next steps in automated support for geodata mining is given.

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