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Large geospatial images discovery : metadata model and technological framework

Publication at Faculty of Science |
2015

Abstract

The advancements in geospatial web technology triggered efforts for disclosure of valuable resources of historical collections. This paper focuses on the role of SDI systems in such efforts.

The work describes the interplay between SDI technologies and potential use cases in libraries such as cartographic heritage. The metadata model is introduced to link up the sources from this two distinct fields.

To enhance the data search capabilities, the work focuses on the representation of the content-based metadata of raster images, which is the crucial prerequisite to target the search in a more effective way. An encoding of image analysis results is also a mean for a content-based image description and distribution of such a discovery.

The architecture of the prototype system for automatic raster data processing, storage, analysis and distribution is introduced. The architecture responds to the characteristics of input datasets, namely to the continuous flow of very large raster data and related metadata.

Proposed solutions are illustrated by the case study of cartometric analysis of digitised early map and related metadata encoding.