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A Demonstration of Stella: A Crowdsourcing-Based Geotagging Framework

Summary: Demonstrates Stella, a crowdsourcing-based geotagging framework for arbitrary objects, including images, emphasizing efficiency and accuracy in crowd-powered tagging. Two live demonstrations show a GUI MTurk tagging workflow and attendee-driven geotagging during the session, with end-to-end results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11687
Venue
VLDB
Year
2017
Pagerank
5.093636e-05
Overall Rank
12,016 | 17.56%
DOI
10.14778/3137765.3137821

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BibTeX Citation

@article{jonathan_vldb17,
        title = {{A Demonstration of Stella: A Crowdsourcing-Based Geotagging Framework}},
        author = {Jonathan, Christopher and Mokbel, Mohamed F.},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {12},
        pages = {1969--1972},
        doi = {10.14778/3137765.3137821},
        url = {https://doi.org/10.14778/3137765.3137821},
        year = {2017}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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3,620 EvenTweet: Online Localized Event Detection from Twitter 2013 VLDB 7.2501117e-05
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