Computing a k-route over uncertain geographical data
SSTD'07 Proceedings of the 10th international conference on Advances in spatial and temporal databases
Finding haystacks with needles: ranked search for data using geospatial and temporal characteristics
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
When big data leads to lost data
Proceedings of the 5th Ph.D. workshop on Information and knowledge
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Certain types of information are associated with specific locations on Earth’s surface, and can be retrieved using location as the primary search key. The combination of a collection of such information and a location-based search mechanism is termed a geolibrary. A search for specific information over multiple collections is more efficient if one knows where to look. Information about the contents of a collection is termed collection-level metadata (CLM). Several conceptual designs for the process of search are reviewed, and the U.S. National Geospatial Data Clearinghouse is discussed. The Alexandria Digital Library provides an example of a large digital collection. Its geographic coverage is analyzed to determine whether its CLM can be modeled effectively. The difficulties of describing CLM are discussed from the perspective of institutional change, as library collections attempt to make themselves more accessible through the Internet.