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)
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Authors
- 1. Constantinos Costa (University of Pittsburgh)
- 2. Xiaoyu Ge (University of Pittsburgh)
- 3. Panos K. Chrysanthis (University of Pittsburgh)
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}
}
Incoming Citations (Sorted by Pagerank)
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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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