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Viewing report
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Intelligent Information Retrieval for Maps. Edition No. 1
VDM Publishing House, June 2009, Pages: 128
Analysis of spoken and search engine queries show
that people often look for maps of a
certain location that are at a certain time or show a
subject theme. Their search may be
hindered by the fact that maps in both physical and
digital collections are often organized
by region, and maps in non-geographical publications
are essentially invisible to search
because they are rarely indexed. This research offers
a way to resolve the problem by
writing algorithms that automatically classify maps
by time and theme as well as region,
demonstrating these techniques in a web-based
prototype system. The classification is
“intelligent” because it is aided by knowledge
resources. These automatic classification
were evaluated by comparing system-classified maps to
manual classification of the same
maps, with results showing automatic correspondence
with the manual at 75% for region,
69% for time, and up to 93% for theme (when plausible
classification categories are
counted). The discussion will appeal to those who
study information retrieval as well as
to those who just like maps.
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