Cheshire II: designing a next-generation online catalog
Journal of the American Society for Information Science - Special issue: current research in online public access systems
From named place to naming event: creating gazetteers for history
International Journal of Geographical Information Science - Digital Gazetteer Research
Event gazetteers for navigating humanities resources
Proceedings of the 2nd PhD workshop on Information and knowledge management
Data mining of maps and their automatic region-time-theme classification
SIGSPATIAL Special
Proceedings of the 2007 conference on Human interface: Part II
Extraction and geographical navigation of important historical events in the web
W2GIS'11 Proceedings of the 10th international conference on Web and wireless geographical information systems
Event-centric search and exploration in document collections
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia
Artificial Intelligence
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Metadata is ordinarily used to describe documents, but it can also constitute a form of infrastructure for access to networked resources and for traversal of those resources. One problematic area for access to digital library resources has been the search for time periods or events. If there is a capability to search for time, it is usually a date search - a standardized and precise form but unfortunately rarely used in common chronological expressions. For example, a user interested in the "Vietnam war", "Clinton Administration" or the "Elizabethan Period" must either know the corresponding dates, or rely on simple keyword matching for those period names. We consider the ability to interpret user statements of periods or eras as ranges of dates and to associate them with particular locations an important feature of an information system. This paper describes the Time Period Directory, a metadata infrastructure for named time periods linking them with their geographic location as well as a canonical time period range.