Creating a searchable map library via data mining

Authors:
Judith Gelernter;Michael Lesk
Affiliations:
Rutgers University, New Brunswick, NJ, USA;Rutgers University, New Brunswick, NJ, USA
Venue:
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Year:
2008

Citing 1
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Abstract

Maps in journal articles are difficult to access since they are rarely indexed apart from the articles themselves. Our prototype of a searchable map library was built by extracting maps and harvesting metadata from scanned articles to classify each map.