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<!DOCTYPE html>
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<title>Data Management Foundations for Indoor LBS</title>
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<a class="navbar-brand page-scroll" href="#page-top">Indoor LBS @RUC-AAU</a>
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<h1>Data Management Foundations for Indoor LBS</h1>
<hr>
<p>The purpose of the project is to create a prototype indoor data management system with general, systematic, and solid data management foundations upon which indoor location-based services (LBS) can be built to provide location-dependent information efficiently and effectively to users in a broad range of indoor scenarios.</p>
<a href="#about" class="btn btn-primary btn-xl page-scroll">Find Out More</a>
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<h2 class="section-heading">indoor LBS has yet to be widely available in practice</h2>
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<p class="text-faded">A fundamental reason for the gap is that indoor data management is still in its infancy. The recent trend of pervasive instrumentation is improving indoor positioning and accumulating large amounts of real data, which inspires research and applications on indoor data management and enables us to evaluate relevant innovations in real settings—an opportunity for research that we have never had before.</p>
<a href="#project" class="btn btn-default btn-xl page-scroll">See our efforts!</a>
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<h2 class="section-heading">The Team Members</h2>
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<h3><a href="http://luhua.ruc.dk/" target="_blank">Hua Lu</a> (PI)</h3>
<p class="text-muted">Professor of Computer Science in the Department of People and Technology, Roskilde University.</p>
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<h3><a href="http://people.cs.aau.dk/~lihuan" target="_blank">Huan Li</a></h3>
<p class="text-muted">Assistant Professor in the Department of Computer Science, Aalborg University.</p>
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<h3><a href="https://forskning.ruc.dk/en/persons/kai-ho" target="_blank">Harry Kai-Ho Chan</a></h3>
<p class="text-muted">Postdoc Researcher in the Department of People and Technology, Roskilde University.</p>
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<h3><a href="https://tiantianliu-ttl.github.io/" target="_blank">Tiantian Liu</a></h3>
<p class="text-muted">PhD student in the Department of Computer Science, Aalborg University.</p>
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<h3><a href="https://forskning.ruc.dk/en/persons/xiaol" target="_blank">Xiao Li</a></h3>
<p class="text-muted">PhD student in the Department of People and Technology, Roskilde University.</p>
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<h3><a href="https://www.linkedin.com/jobs/view/1925719376/" target="_blank">Open Positions</a></h3>
<p class="text-muted">PhD at Roskilde University</p>
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</section>
<section class="no-padding" id="project">
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<div class="portfolio-box-caption">
<div class="portfolio-box-caption-content">
<div class="project-category text-faded">
Subproject
</div>
<div class="project-name">
Indoor Spatial Queries: Modeling, Indexing, and Processing
</div>
</div>
</div>
</a>
</div>
<div class="col-lg-3 col-sm-6">
<a href="http://130.225.57.35:8080/IKAROS/" target="_blank" class="portfolio-box">
<img src="img/portfolio/Radiant-Gradient.svg" class="img-responsive" alt="">
<div class="portfolio-box-caption">
<div class="portfolio-box-caption-content">
<div class="project-category text-faded">
Subproject
</div>
<div class="project-name">
IKAROS: Indoor Keyword-Aware Routing System
</div>
</div>
</div>
</a>
</div>
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<div class="portfolio-box-caption">
<div class="portfolio-box-caption-content">
<div class="project-category text-faded">
Subproject
</div>
<div class="project-name">
TRIPS: A System for Translating Raw Indoor Positioning Data into Visual Mobility Semantics
</div>
</div>
</div>
</a>
</div>
<div class="col-lg-3 col-sm-6">
<a href="https://github.com/harryckh/CSDM-public" target="_blank" class="portfolio-box">
<img src="img/portfolio/Radiant-Gradient.svg" class="img-responsive" alt="">
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<div class="portfolio-box-caption-content">
<div class="project-category text-faded">
Subproject
</div>
<div class="project-name">
Continuous Social Distance Monitoring in Indoor Space
</div>
</div>
</div>
</a>
</div>
</div>
</div>
</section>
<section id="publication">
<div class="container">
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<h2 class="section-heading">Publications</h2>
<hr class="primary">
</div>
</div>
</div>
<div class="container">
<div class="row" id="publication-list">
<ol>
<li>
Continuous social distance monitoring in indoor space.<br />
Harry Kai-Ho Chan, Huan Li, Xiao Li, and Hua Lu.<br />
<i>Proceedings of the 48th International Conference on Very Large Data Bases (<b>PVLDB</b>), 13 pages, 2022, to appear.</i><br />
<a href="#"><div class="color-button">DOI</div></a>
<a href="https://github.com/harryckh/CSDM-public" target="_blank"><div class="color-button">CODE</div></a>
</li>
<li>
IKAROS: An indoor keyword-aware routing system.<br />
Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Lidan Shou, and Jianliang Xu.<br />
<i>Proceedings of the 38th IEEE International Conference on Data Engineering (<b>ICDE</b>), 4 pages, 2022, to appear. (Demo)</i><br />
<a href="#"><div class="color-button">DOI</div></a>
<a href="https://youtu.be/Q0Bq7iYbvHs" target="_blank"><div class="color-button">VIDEO</div></a>
<a href="https://github.com/TiantianLiu-TTL/IKAROS" target="_blank"><div class="color-button">CODE</div></a>
</li>
<li>
Time-constrained indoor keyword-aware routing.<br />
Harry Kai-Ho Chan, Tiantian Liu, Huan Li, and Hua Lu.<br />
<i>Proceedings of the 17th International Symposium on Spatial and Temporal Databases (<b>SSTD</b>), pp. 74-84, 2021.</i><br />
<a href="https://doi.org/10.1145/3469830.3470895" target="_blank"><div class="color-button">DOI</div></a>
</li>
<li>
Towards indoor temporal-variation aware shortest path query.<br />
Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, and Jianliang Xu.<br />
<i>IEEE Transactions on Knowledge and Data Engineering (<b>TKDE</b>), 15 pages, 2021.</i><br />
<a href="https://doi.org/10.1109/TKDE.2021.3076144" target="_blank"><div class="color-button">DOI</div></a>
</li>
<li>
Towards crowd-aware indoor path planning.<br />
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Lidan Shou.<br />
<i>Proceedings of the 47th International Conference on Very Large Data Bases (<b>PVLDB</b>), 14(8): 1365--1377, 2021.</i><br />
<a href="https://doi.org/10.14778/3457390.3457401" target="_blank"><div class="color-button">DOI</div></a>
<a href="https://arxiv.org/abs/2104.05480" target="_blank"><div class="color-button">EXTENSION</div></a>
</li>
<li>
Indoor spatial queries: Modeling, indexing, and processing.<br />
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Lidan Shou.<br />
<i>Proceedings of the 24th International Conference on Extending Database Technology (<b>EDBT</b>), pp. 181-192, 2021.</i><br />
<a href="https://doi.org/10.5441/002/edbt.2021.17" target="_blank"><div class="color-button">DOI</div></a>
<a href="https://longaspire.github.io/publication/isqea/ISQEA_EDBT_poster.pdf" target="_blank"><div class="color-button">1-MINUTE POSTER</div></a>
<a href="https://longaspire.github.io/publication/isqea/ISQEA_EDBT_slides.pdf" target="_blank"><div class="color-button">SLIDES</div></a>
<a href="https://arxiv.org/abs/2010.03910" target="_blank"><div class="color-button">EXTENSION</div></a>
<a href="https://github.com/indoorLBS/ISQEA" target="_blank"><div class="color-button">CODE&DATA</div></a>
</li>
<li>
Toward translating raw indoor positioning data into mobility semantics.<br />
Huan Li, Hua Lu, Gang Chen, Ke Chen, Qinkuang Chen, and Lidan Shou.<br />
<i>ACM/IMS Transactions on Data Science (<b>TDS</b>), 1(4) No.26: 1-37, 2020.</i><br />
<a href="https://doi.org/10.1145/3385190" target="_blank"><div class="color-button">DOI</div></a>
</li>
<li>
Efficiently processing spatial and keyword queries in indoor venues.<br />
Zhou Shao, Muhammad Aamir Cheema, David Taniar, Hua Lu, and Shiyu Yang.<br />
<i>IEEE Transactions on Knowledge and Data Engineering (<b>TKDE</b>), 33(9): 3229-3244, 2021.</i><br />
<a href="https://doi.org/10.1109/TKDE.2020.2964206" target="_blank"><div class="color-button">DOI</div></a>
</li>
<li>
Shortest path queries for indoor venues with temporal variations.<br />
Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, and Jianliang Xu.<br />
<i>Proceedings of the 36th IEEE International Conference on Data Engineering (<b>ICDE</b>), pp. 2014-2017, 2020. (Short Paper)</i><br />
<a href="https://doi.org/10.1109/ICDE48307.2020.00227" target="_blank"><div class="color-button">DOI</div></a>
<a href="https://longaspire.github.io/publication/itspq/751_ICDE_Liu_ITSPQ.pdf" target="_blank"><div class="color-button">POSTER</div></a>
</li>
<li>
Indoor mobility semantics annotation using coupled conditional Markov networks.<br />
Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou, and Gang Chen.<br />
<i>Proceedings of the 36th IEEE International Conference on Data Engineering (<b>ICDE</b>), pp. 1441-1452, 2020.</i><br />
<a href="https://doi.org/10.1109/ICDE48307.2020.00128" target="_blank"><div class="color-button">DOI</div></a>
<a href="https://longaspire.github.io/publication/semantic-trajectory/739_ICDE_Li_IndSemTraj.pdf" target="_blank"><div class="color-button">SLIDES</div></a>
</li>
<li>
Indoor top-k keyword-aware routing query.<br />
Zijin Feng, Tiantian Liu, Huan Li, Hua Lu, Lidan Shou, and Jianliang Xu.<br />
<i>Proceedings of the 36th IEEE International Conference on Data Engineering (<b>ICDE</b>), pp. 1213-1224, 2020.</i><br />
<a href="https://doi.org/10.1109/ICDE48307.2020.00109" target="_blank"><div class="color-button">DOI</div></a>
<a href="https://longaspire.github.io/publication/ikrq/355_ICDE_Feng_IKRQ.pdf" target="_blank"><div class="color-button">SLIDES</div></a>
<a href="https://longaspire.github.io/publication/ikrq/poster-IKRQ.pdf" target="_blank"><div class="color-button">POSTER</div></a>
<a href="https://longaspire.github.io/s/hkdata.html" target="_blank"><div class="color-button">DATA</div></a>
</li>
</ol>
<br/>
<!-- <div id="footnote" align="right">
<!-- *<i>corresponding author</i> -->
<!-- <br /><sup>†</sup><i>preprint version under Green OpenAccess protocol</i> -->
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</div>
</section>
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<h2>Benchmarks and Datasets</h2>
<a href="https://github.com/indoorLBS/ISQEA" target="_blank" class="btn btn-default btn-xl wow bounceIn">Indoor Spatial Queries Benchmark</a>
<a href="https://longaspire.github.io/s/hkdata.html" target="_blank" class="btn btn-default btn-xl wow bounceIn">Indoor Venue Keyword Dataset</a>
</div>
</div>
</section>
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<p>[email protected]</p>
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<p>indoorLBS</p>
</a>
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<br />
<!-- <hr class="primary"> -->
The project was supported by <em>Independent Research Fund Denmark</em> (Grant No. 8022-00366B).<br/>
This website is powered by Jekyll with theme <a href="https://github.com/volny/creative-theme-jekyll" target="_blank">creative</a>. Last Update: March 2022.</p>
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