Push-based Spatial Crowdsourcing for Enriching Semantic Tags in OpenStreetMap

Bhuvan Gummidi, Torben Bach Pedersen, Xike Xie, Esteban Zimányi

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Abstrakt

OpenStreetMap (OSM) is a popular community-driven mapping platform with voluntary contributions from (amateur) cartographers. However, it is a difficult process for the cartographer to identify the areas where she can best contribute to OSM. Furthermore, the current OSM spatial entities are missing many tags; for example, top three road network tags, Name, Source, and Surface, are available only for the 10% of the total road segments. Our paper aims to improve the quantity and quality of the road network tags by actively pushing the nearest road segments for the cartographer to be mapped. We propose a push-based spatial crowdsourcing method to achieve this objective, and validate it by focusing on road segments in OSM. Specifically, we formally define the batch-based maximum road segment task assignment problem and suggest methods based on heuristics like travel distance and road segment task grouping. Finally, our experimental evaluation verify the applicability of our assignment solutions by comparing the resulting number of assigned tasks. With regard to the number of assigned road segments, our junctions-based and road segment-based heuristic methods, outperform the baseline methods by five and two times, respectively.
OriginalsprogEngelsk
TitelProceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : SIGSPATIAL'19
RedaktørerFarnoush Banaei-Kashani, Goce Trajcevski, Ralf Hartmut Guting, Lars Kulik, Shawn Newsam
Antal sider4
ForlagAssociation for Computing Machinery
Publikationsdato8 nov. 2019
Sider532-535
ISBN (Elektronisk)978-1-4503-6909-1
DOI
StatusUdgivet - 8 nov. 2019
BegivenhedInternational Conference on Advances in Geographic Information Systems - Chicago, USA
Varighed: 5 nov. 20198 nov. 2019
Konferencens nummer: 27th

Konference

KonferenceInternational Conference on Advances in Geographic Information Systems
Nummer27th
LandUSA
ByChicago
Periode05/11/201908/11/2019

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Citationsformater

Gummidi, B., Pedersen, T. B., Xie, X., & Zimányi, E. (2019). Push-based Spatial Crowdsourcing for Enriching Semantic Tags in OpenStreetMap. I F. Banaei-Kashani, G. Trajcevski, R. H. Guting, L. Kulik, & S. Newsam (red.), Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: SIGSPATIAL'19 (s. 532-535). Association for Computing Machinery. https://doi.org/10.1145/3347146.3359365