Efficient Error-Correcting Geocoding
Christian Jung, Daniel Karch, Sebastian Knopp, Dennis Luxen, and Peter, Sanders

TL;DR
This paper introduces a fast and accurate geocoding method that corrects misspelled addresses and resolves them into geographic coordinates, outperforming major search engines in quality.
Contribution
The paper presents a novel data structure enabling rapid and precise geocoding of misspelled or fragmentary addresses, improving upon existing search engine results.
Findings
Resolves addresses within milliseconds
Achieves higher accuracy than Google and Bing
Handles misspelled and fragmentary queries effectively
Abstract
We study the problem of resolving a perhaps misspelled address of a location into geographic coordinates of latitude and longitude. Our data structure solves this problem within a few milliseconds even for misspelled and fragmentary queries. Compared to major geographic search engines such as Google or Bing we achieve results of significantly better quality.
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Taxonomy
TopicsAlgorithms and Data Compression · Data Management and Algorithms · Advanced Image and Video Retrieval Techniques
