Abstract
The advancements in geospatial web technology triggered efforts for disclosure of valuable resources of historical collections. This paper focuses on the role of spatial data infrastructures (SDI) 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 these 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. 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 on the case study of cartometric analysis of digitised early maps and related metadata encoding.
Highlights
From the perspective of spatial data infrastructures (SDI) development strategies, the old maps represent a specific data source, especially regarding metadata
The parameters generated by the system itself, i.e. data source URL, are assigned, including some preset values common for the whole dataset of early maps (Contact, Role or Metadata language). Beyond these two groups of metadata fields, which originate from the automatic processing line of early maps scans and related metadata, the product of automated or manual map analysis can be encoded within the Reference system and Reference scale fields or within Supplemental field for other results
The interplay between SDI technologies and librarianship was described in this work and presented on some examples of a cartographic heritage discovery
Summary
From the perspective of spatial data infrastructures (SDI) development strategies, the old maps represent a specific data source, especially regarding metadata. In these historical documents the methods for the representation of space at the time of their origin can be revealed These records provide valuable historical spatial data and document the temporal changes of represented phenomena, and so information about land use changes, the development of towns or river network transformations can be discovered. The continuous flow of very large raster data from the digitization procedures of printed maps or satellite images receiving stations can be shown as an example of such data sources These issues highly increase computational demands during any analytical task that requires additional data transfers, i.e. from the data store to the processing application. The architecture of the prototype system for automatic raster data processing, storage and distribution is introduced This architecture responds to the characteristics of input datasets and to the demands for more effective spatial images management and analysis approach.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
