Abstract
We present a system for editing OpenStreetMap data, which is based on the idea that common-sense preconceptions about the world can be encoded semantically and thus used in conjunction with preexisting data about an area to predict probable changes. The system can thus reduce the number of OpenStreetMap tags from which the user can choose.
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El-Safty, A., Schmitz, B., Ertl, T. (2014). An OpenStreetMap Editing Interface for Visually Impaired Users Based on Geo-semantic Information. In: Miesenberger, K., Fels, D., Archambault, D., Peňáz, P., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2014. Lecture Notes in Computer Science, vol 8548. Springer, Cham. https://doi.org/10.1007/978-3-319-08599-9_18
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DOI: https://doi.org/10.1007/978-3-319-08599-9_18
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08598-2
Online ISBN: 978-3-319-08599-9
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