Autonomous place naming system using opportunistic crowdsensing and knowledge from crowdsourcing

IPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013

Volumn , Issue , 2013, Pages 19-30

  Chon, Yohan ^a   Kim, Yunjong ^a   Cha, Hojung ^a  

^a Yonsei University   (South Korea)

Author keywords

Location naming; Location based services; Smartphone sensing

Indexed keywords

CROWD SOURCING; LOCATION INFORMATION; MOBILE SENSING; SEMANTIC FEATURES; SMARTPHONE SENSING; SOCIAL NETWORK SERVICES; SOCIAL NETWORKS; USER INTERVENTION;

DATA PROCESSING; LOCATION BASED SERVICES; SEMANTICS; SENSOR NETWORKS; SENSORS; SIGNAL ENCODING; SMARTPHONES;

SOCIAL NETWORKING (ONLINE);

EID: 84876775902     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2461381.2461388     Document Type: Conference Paper

References (28)

1. R. K. Ahuja, T. L. Magnanti, and J. B. Orlin. Network Flows: Theory, Algorithms, and Applications. Prentice-Hall, Inc., 1993.
2. C. Antoniak. Mixtures of dirichlet processes with applications to bayesian nonparametric problems. The Annals of Statistics, 2(6):1152-1174, 1974.
3. Y. Chon and H. Cha. Lifemap: A smartphone-based context provider for location-based services. Pervasive Computing, IEEE, 10(2):58-67, April-June 2011.
4. Y. Chon, Y. Kim, H. Shin, and H. Cha. Topic modeling-based semantic annotation of places using personal behavior and environmental features. In Proceedings of Nokia Mobile Data Challenge Workshop, in Conjunction with Pervasive'12, 2012.
5. Y. Chon, N. D. Lane, F. Li, H. Cha, and F. Zhao. Automatically characterizing places with opportunistic crowdsensing using smartphones. In Proceedings of the 14th International Conference on Ubiquitous Computing, Ubicomp'12, pages 206-212. ACM, 2012.
6. Y. Chon, H. Shin, E. Talipov, and H. Cha. Evaluating mobility models for temporal prediction with high-granularity mobility data. In Proceedings of the 10th International Conference on Pervasive Computing and Communications, PerCom'12, pages 206-212. IEEE, 2012.
7. Y. Chon, E. Talipov, H. Shin, and H. Cha. Mobility prediction-based smartphone energy optimization for everyday location monitoring. In Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, SenSys'11, pages 82-95. ACM, 2011.
8. G. Colombo, M. Chorley, M. Williams, S. Allen, and R. Whitaker. You are where you eat: Foursquare checkins as indicators of human mobility and behaviour. In Proceedings of the 10th International Conference on Pervasive Computing and Communications Workshops, PerMoby'12, pages 217-222. IEEE, 2012.
9. J. Cranshaw, E. Toch, J. Hong, A. Kittur, and N. Sadeh. Bridging the gap between physical location and online social networks. In Proceedings of the 12th ACM international conference on Ubiquitous computing, Ubicomp '10, pages 119-128. ACM, 2010.
10. J. Du, Q. Huo, L. Sun, and J. Sun. Snap and translate using windows phone. In 2011 International Conference on Document Analysis and Recognition, ICDAR'11, pages 809-813. IEEE, 2011.
11. Foursquare Inc. Foursquare. http://foursquare.com.
12. P. Jaccard. The distribution of the flora in the alpine zone. New Phytologist, 11(2):37-50, 1912.
13. D. H. Kim, Y. Kim, D. Estrin, and M. B. Srivastava. Sensloc: sensing everyday places and paths using less energy. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, SenSys '10, pages 43-56. ACM, 2010.
14. D. Kotz and T. Henderson. Crawdad: A community resource for archiving wireless data at dartmouth. IEEE Pervasive Computing, 4(4):12-14, Oct.-Dec. 2005.
15. S. Kullback and R. Leibler. On information and sufficiency. Annals of Mathematical Statistics, 22(1):79-86, 1951.
16. N. D. Lane, D. Lymberopoulos, F. Zhao, and A. T. Campbell. Hapori: Context-based local search for mobile phones using community behavioral modeling and similarity. In Proceedings of the 12th International Conference on Ubiquitous Computing, Ubicomp'10, pages 109-118. ACM, 2010.
17. K. W.-T. Leung, D. L. Lee, and W.-C. Lee. Clr: a collaborative location recommendation framework based on co-clustering. In Proceedings of the 34th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '11, pages 305-314. ACM, 2011.
18. D. Lian and X. Xie. Learning location naming from user check-in histories. In Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS '11, pages 112-121. ACM, 2011.
19. J. Lin, G. Xiang, J. I. Hong, and N. Sadeh. Modeling people's place naming preferences in location sharing. In Proceedings of the 12th ACM international conference on Ubiquitous computing, Ubicomp '10, pages 75-84. ACM, 2010.
20. D. G. Lowe. Object recognition from local scale-invariant features. In Proceedings of the 7th IEEE International Conference on Computer Vision, ICCV'99, pages 1150-1157. IEEE, 1999.
21. M. Muja and D. G. Lowe. Fast approximate nearest neighbors with automatic algorithm configuration. In International Conference on Computer Vision Theory and Applications, VISAPP'09, pages 331-340, 2009.
22. A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision, 42(3):145-175, 2001.
23. G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval. Information Processing and Management, 24(5):513-523, 1988.
24. P. Shankar, Y.-W. Huang, P. Castro, B. Nath, and L. Iftode. Crowds replace experts: Building better location-based services using mobile social network interactions. In Proceedings of the 10th International Conference on Pervasive Computing and Communications, PerCom'12, pages 20-29. IEEE, 2012.
25. S. Tominaga, M. Shimosaka, R. Fukui, and T. Sato. A unified framework for modeling and predicting going-out behavior. In Proceedings of the 10th International Conference on Pervasive Computing, Pervasive'12, pages 73-90. Springer, 2012.
26. L. Vu, Q. Do, and K. Nahrstedt. Jyotish: A novel framework for constructing predictive model of people movement from join wifi/bluetooth trace. In Proceedings of the 9th International Conference on Pervasive Computing and Communications, PerCom'11, pages 54-62. IEEE, 2011.
27. M. Ye, D. Shou, W.-C. Lee, P. Yin, and K. Janowicz. On the semantic annotation of places in location-based social networks. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '11, pages 520-528. ACM, 2011.
28. Y. Zhu, E. Zhong, Z. Lu, and Q. Yang. Feature engineering for place category classification. In Proceedings of Nokia Mobile Data Challenge Workshop, in Conjunction with Pervasive'12, 2012.