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Text documents often include information pertaining to geographic locations. Mapping these place names to specific geographic locations currently requires a considerable amount of human effort to match the text with a GIS or other mapping system. This becomes especially challenging when the same place name is represented by multiple places, such as in the naming of waterbodies (e.g. lakes and rivers). To overcome this challenge, we propose a new algorithm that could improve the accuracy of geo-parsing applications, with the intention of testing this in a real world situation and evaluate these results.
Dr. Liang Chen
Negar Hassanpour
Goldstream Publishing Inc.
Computer science
Information and communications technologies
University of Northern British Columbia
Accelerate
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