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Efficient integration of road maps
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Source Geographic Information Systems archive
Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems table of contents
Arlington, Virginia, USA
SESSION: Data integration table of contents
Pages: 59 - 66  
Year of Publication: 2006
ISBN:1-59593-529-0
Authors
Eliyah Safra  Technion, Haifa, Israel
Yaron Kanza  University of Toronto, Toronto, Canada
Yehoshua Sagiv  The Hebrew University, Jerusalem, Israel
Yerach Doytsher  Technion, Haifa, Israel
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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ABSTRACT

Integration of two road maps is finding a matching between pairs of objects that represent, in the maps, the same real-world road. Several algorithms were proposed in the past for road-map integration; however, these algorithms are not efficient and some of them even require human feedback. Thus, they are not suitable for many important applications (e.g., Web services) where efficiency, in terms of both time and space, is crucial. This paper presents two efficient algorithms for integrating maps in which roads are represented as polylines. The main novelty of these algorithms is in using only the locations of the endpoints of the polylines rather than trying to match whole lines. Experiments on real-world data are given, showing that our approach of integration based on matching merely endpoints is efficient and accurate (that is, it provides high recall and precision).


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Eliyah Safra: colleagues
Yaron Kanza: colleagues
Yehoshua Sagiv: colleagues
Yerach Doytsher: colleagues