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CAPRIO: Graph-based Integration of Indoor and Outdoor Data for Path Discovery

Summary: CAPRIO proposes a graph model that unifies indoor and outdoor data, including weather, to enable personalized path discovery. The unified representation enables cross-domain optimizations for exposure-aware, length-minimizing routing that are impractical with separate indoor/outdoor graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12078
Venue
VLDB
Year
2019
Pagerank
-
Overall Rank
13,512 | 7.30%
DOI
10.14778/3352063.3352089

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Authors

BibTeX Citation

@article{costa_vldb19,
        title = {{CAPRIO: Graph-based Integration of Indoor and Outdoor Data for Path Discovery}},
        author = {Costa, Constantinos and Ge, Xiaoyu and Chrysanthis, Panos K.},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {1878--1881},
        doi = {10.14778/3352063.3352089},
        url = {https://doi.org/10.14778/3352063.3352089},
        year = {2019}
}

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Rank Citing Paper Year Venue Pagerank
11,717 EPICGen: An Experimental Platform for Indoor Congestion Generation and Forecasting 2021 VLDB 5.093636e-05
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