information technology (some) research trends in location-based services muhammad aamir cheema...
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Information Technology
(Some) Research Trends in Location-based Services
Muhammad Aamir CheemaFaculty of Information TechnologyMonash University, Australia
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OutlineIntroductionPreliminary Research Advanced ResearchOur Contributions
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DefinitionServices that integrate a user’s location with other information to provide added value to a user.
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ExamplesNavigation and travelGeo-social networkingGamingRetailAdvertisement
and many many more…
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Significance Location-based services have become ubiquitous
Smart Phones > old fashioned phones
Number of mobiles > World’s population
60% 40%
LBS are a bonanza for start-ups (est. market $13B in 2014)
$21B in 2015
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Preliminary research Shortest Path Query Range Query Nearest Neighbors Query Reverse Nearest Neighbors Queries K-closest Pairs Queries
and other similar queries…
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Preliminary Research Shortest Path Query: What is the shortest path from here to airport
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Preliminary research Range Query: Return the coffee shops within 300 meters.
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Preliminary research Nearest Neighbor Query: Return the nearest fuel station.
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Preliminary research Reverse Nearest Neighbor Query: Return every object for which
the query object is the closest object.
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Preliminary research K-Closest Pairs Query: Return k-closest pairs of objects.
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Preliminary research Shortest Path Query Range Query k-Nearest Neighbors Query Reverse Nearest Neighbors Query k-Closest Pairs Query
and other similar queries…
Static and continuous queriesEuclidean distance and network distance
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Our research Range Query: Return the coffee shops within 300 meters.
M. A. Cheema, L. Brankovic, X. Lin, W. Zhang, W. Wang. "Multi-Guarded Safe Zone: An Effective Technique to Monitor Moving Circular Range Queries" ICDE 2010
(One of the best papers)
M. A. Cheema, L. Brankovic, X. Lin, W. Zhang, W. Wang. "Continuous Monitoring of Distance Based Range Queries", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2011.
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Our research k-Nearest Neighbors Query: Return k closest fuel stations.
W. Zhang, X. Lin, M. A. Cheema, Y. Zhang, W. Wang. "Quantile-Based KNN Over Multi-Valued Objects", ICDE 2010
M. Hasan, M. A. Cheema, X. Lin, Y. Zhang. "Efficient Construction of Safe Regions for moving kNN Queries over Dynamic Datasets", SSTD 2009.
M. Hasan, M. A. Cheema, W. Qu, X. Lin "Efficient Algorithms to Monitor Continuous Constrained k Nearest Neighbor Queries", DASFAA 2010.
M. Hasan, M. A. Cheema, X. Lin, W. Zhang. "A Unified Algorithm for Continuous Monitoring of Spatial Queries, DASFAA 2011.
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Our research Reverse Nearest Neighbor Query: Return the cars for which my
fuel station is the nearest fuel station.
M. A. Cheema, X. Lin, Y. Zhang, W. Wang, W. Zhang. "Lazy Updates: An Efficient Technique to Continuously Monitoring Reverse kNN“, PVLDB 2009.
(CiSRA Best Research Paper of 2009 Award) M. A. Cheema, W. Zhang, X. Lin, Y. Zhang, X. Li. "Continuous Reverse k Nearest Neighbors
Queries in Euclidean Space and in Spatial Networks", VLDB Journal 2012. M. A. Cheema, X. Lin, W. Zhang, Y. Zhang. "Influence Zone: Efficiently Processing Reverse k Nearest
Neighbors Queries", ICDE 2011. (CiSRA Best Research Paper of 2010 Award)
M. A. Cheema, W. Zhang, X. Lin, Y. Zhang. "Efficiently Processing Snapshot and Continuous Reverse k Nearest Neighbors Queries", VLDB Journal 2012.
S. Yang, M. A. Cheema, Xuemin Lin, Ying Zhang. “Reviving Regions-based Pruning for Reverse k Nearest Neigbhors Queries", ICDE 2014
S. Yang, M. A. Cheema, Xuemin Lin, Wei Wang. “Reverse k Nearest Neighbors Query Processing: Experiments and Analysis", PVLDB 2015
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Our research K-Closest Pairs Query: Return the closest pair of McDonald’s.
M. A. Cheema, X. Lin, H. Wang, J. Wang, W. Zhang. "A Unified Approach for Computing Top-k Pairs in Multidimensional Space", ICDE 2011.
M. A. Cheema, X. Lin, H. Wang, J. Wang, W. Zhang "A Unified Framework for Answering k Closest Pairs Queries and Variants", IEEE TKDE 2014
Z, Shen, M. A. Cheema, X. Lin, W. Zhang, H. Wang. "Efficiently Monitoring Top-k Pairs over Sliding Windows", ICDE 2012. (One of the best papers)
Z. Shen, M. A. Cheema, X. Lin, W. Zhang, H. Wang. "A Generic Framework for Top-k Pairs and Top-k Objects Queries over Sliding Windows", IEEE TKDE 2013.
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Advanced Research Personalized and context-aware results
The query results should be based on location as well as the user profile (e.g., age, gender, interests, friends etc.) context (e.g., time, weather etc.)
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Advanced Research Handling Inaccuracy in data
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Advanced Research Handling Inaccuracy in data
Apple Maps directs drivers through Alaska airport runway
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Advanced Research Handling Inaccuracy and uncertainty
Inaccuracy of GPS devices User created data Automatically annotated data Entity resolution
etc …
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Advanced Research Privacy and security
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Advanced Research Privacy and security
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Advanced Research Privacy and security
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Advanced Research Privacy and security
User awareness
pleaserobme.com robmenow.com
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Advanced Research Privacy and security
User awareness Privacy preserving techniques (e.g., spatial cloaking, k-anonymity)
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Advanced Research Indoor location data management We spend 85% time indoor – 30% outside of home 800 Million mobiles using indoor location technology by 2018 More than 200,000 indoor maps in USA by 2016 Apple allowed indoor maps for businesses - service crashed
Indoor LBS is the next frontier for LBS – Forbes Indoor LBS is expected to have bigger impact than outdoor LBS –
Sillicon Valley
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Advanced Research Indoor location data management
Fundamental queries (shortest path, kNN etc.) Spatial keyword queries Route planning Handling uncertainty Data analytics …
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Our Research On-going Projects M. A. Cheema,"Efficiently Querying Uncertain Spatial Space", ARC Discovery Early Career Researcher
Award (2013-2015), $375,000. W. Wang, M. A. Cheema, "Next-Generation Spatial Keyword Search", ARC Discovery Project, (2013-
2015), $360,000.
Upcoming/New Projects Efficient Query Processing Techniques for Indoor Location based Services – with Hua Lu (Aalborg
University, Denmark) Query Processing in Location-Based Social Networks – with Wei Wang (UNSW Australia) and
Mohamed Mokbel (University of Minnesota)
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Our Research Representative Published Research Results W. Zhang, X. Lin, Y. Zhang, M. A. Cheema, Qing Zhang. ”Stochastic Skylines”, ACM TODS, 2012. X. Wang, Y. Zhang, W. Zhang, X. Lin, M. A. Cheema. "Optimal Spatial Dominance: An effective search
of Nearest Neighbor Candidates”, SIGMOD 2015 M. A. Cheema, X. Lin, W. Wang, W. Zhang, J. Pei. "Probabilistic Reverse Nearest Neighbor Queries on
Uncertain Data", IEEE TKDE 2010 X. Lin, Y. Zhang, W. Zhang, M. A. Cheema. "Stochastic Skyline Operator", ICDE 2011 W. Zhang, A. Li, M. A. Cheema, Y. Zhang, L. Chang. "Probabilistic n-of-N Skyline Computation over
Uncertain Data Streams”, WISE 2013. (Best Paper Award)
C. Zhang, Y. Zhang , W. Zhang, X. Lin, "Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search" , ICDE 2013.
C. Zhang, Y. Zhang, W. Zhang, X. Lin, M. A. Cheema, X. Wang "Diversified Spatial Keyword Search On Road Networks”, EDBT 2014
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Acknowledgments
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Thanks