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Mobility Patterns

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Abstract

We present a data model for tracking mobile objects and reporting the result of queries. The model relies on a discrete view of the spatio-temporal space, where the 2D space and the time axis are respectively partitioned in a finite set of user-defined areas and in constant-size intervals. We define a generic query language to retrieve objects that match mobility patterns describing a sequence of moves. We also identify a subset of restrictions to this language in order to express only deterministic queries for which we discuss evaluation techniques to maintain incrementally the result of queries. The model is conceptually simple, efficient, and constitutes a practical and effective solution to the problem of continuously tracking moving objects with sequence queries.

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References

  1. S. Abiteboul, B. Amann, S. Cluet, A. Eyal, L. Mignet, and T. Milo. “Active views for electronic commerce,” in Proc. Intl. Conf. on Very Large Data Bases (VLDB), 1999.

  2. R. Book, S. Even, S. Greibach, and G. Ott. “Ambiguity in graphs and expressions,” IEEE Transactions on Computers, Vol. 20(2):149–153, 1971.

    Google Scholar 

  3. T. Brinkhoff and J. Weitkämper. “Continuous queries within an architecture for querying XML-represented moving objects,” in Proc. Intl. Conf. on Large Spatial Databases (SSD), 2001.

  4. A. Bruggemann-Klein and D. Wood. “One-unambiguous regular languages,” 1998.

  5. L. Chen and R.T. Ng. “On the marriage of Lp-norms and edit distance,” in Proc. Intl. Conf. on Very Large Data Bases (VLDB), 792–803, 2004.

  6. J. Chen, D. DeWitt, F. Tian, and Y. Wang. “NiagaraCQ: A scalable continuous query system for internet databases,” in Proc. ACM SIGMOD Symp. on the Management of Data, 2000.

  7. J. Chomicki and P.Z. Revesz. “Constraint-based interoperability of spatiotemporal databases,” in Proc. Intl. Conf. on Large Spatial Databases (SSD), vol. 1262 of Lecture Notes in Computer Science, 142–161, Springer, 1997.

  8. M. Crochemore and W. Rytter. Text Algorithms. Oxford University Press, 1994.

  9. Z. Ding and R.H. Güting. “Managing moving objects on dynamic transportation networks,” in Proc. Intl. Conf. on Scientific and Statistical Databases (SSDBM), 287–296, 2004.

  10. N. Djafri, A. Fernandes, N.W. Paton, and T. Griffiths. ‘Spatio-temporal evolution: Querying patterns of change in spatio-temporal databases,” in Proc. Intl. Symp. on Geographic Information Systems, 35–41, 2002.

  11. M. Dumas, M.-C. Fauvet, and P.-C. Scholl. “Handling temporal groupingand pattern-matching queries in a temporal object model,” in Proc. Intl. Conf. on Information and Knowledge Management, 424–431, 1998.

  12. F. Fabret, H. Jacobsen, F. Llirba, K. Ross, and D. Shasha. “Filtering algorithms and implementations for very fast publish/subscrib systems,” in Proc. ACM SIGMOD Symp. on the Management of Data, 2001.

  13. L. Forlizzi, R. Güting, E. Nardelli, and M. Schneider. “A data model and data structures for moving objects databases,” in Proc. ACM SIGMOD Symp. on the Management of Data, 2000.

  14. D.Q. Goldin and P.C. Kanellakis. “On similarity queries for time-series data: Constraint specification and implementation,” in Proceedings of the 1st International Conference on Principles and Practice of Constraint Programming (CP'95), 1995.

  15. S. Grumbach, P. Rigaux, and L. Segoufin. “Manipulating interpolated data is easier than you thought,” in Proc. Intl. Conf. on Very Large Data Bases (VLDB), 2000.

  16. S. Gupta, S. Kopparty, and C.V. Ravishankar. “Roads, codes and spatiotemporal queries,” in Proc. ACM Symp. on Principles of Database Systems, 115–124, 2004.

  17. V. Guralnik and J. Srivastava. “Event detection from time series data,” in Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 33–42, 1999.

  18. R.H. Güting, M.H. Böhlen, M. Erwig, C.S. Jensen, N.A. Lorentzos, M. Schneider, and M. Vazirgiannis. “A foundation for representing and quering moving objects,” ACM Transactions on Database Systems, Vol. 25(1):1–42, 2000.

    Article  Google Scholar 

  19. R.H. Güting, M.H. Böhlen, M. Erwig, C.S. Jensen, N.A. Lorentzos, E. Nardelli, M. Schneider, J.R.R. Viqueira (Eds.). Spatio-Temporal Models and Languages: An Approach Based on Data Types. Spatio-Temporal Databases. The CHOROCHRONOS Approach, 2003.

  20. J. Hopcroft and J. Ullman. Introduction to Automata Theory, Languages, and Computation. Addison-Wesley, Boston, 1979.

  21. G.S. Iwerks, H. Samet, and K. Smith. “Maintenance of spatial semijoin queries on moving points,” in Proc. Intl. Conf. on Very Large Data Bases (VLDB), 828–839, 2004.

  22. C.S. Jensen, D. Lin, and B.C. Ooi. “Query and update efficient B+-tree based indexing of moving objects,” in Proc. Intl. Conf. on Very Large Data Bases (VLDB), 768–779, 2004.

  23. D. Kalashnikov, S. Prabhakar, W. Aref, and S. Hambrusch. “Efficient evaluation of continuous range queries on moving objects,” in Proc. Intl. Conf. on Databases and Expert System Applications (DEXA), 731–740, 2002.

  24. S.-W. Kim, J. Yoon, S. Park, and T.-H. Kim. “Shape-based retrieval of similar subsequences in time-series databases,” in Proceedings of the 17th Symposium on Proceedings of the 2002 ACM Symposium on Applied Computing, 438–445, 2002.

  25. D. Knuth, J. Morris, and V. Pratt. “Fast pattern matching in strings,” SIAM Journal on Computing, Vol. 6(2):323–350, 1977.

    Article  Google Scholar 

  26. R. Laurini and D. Thompson. Fundamentals of Spatial Information Systems, No. 37 in The A.P.I.C. Series, Academic Press: New York, 1992.

    Google Scholar 

  27. Y.-N. Law, H. Wang, and C. Zaniolo. “Query languages and data models for database sequences and data streams,” in Proc. Intl. Conf. on Very Large Data Bases (VLDB), 492–503, 2004.

  28. L. Liu, C. Pu, and W. Tang. “Continual queries for internet scale event-driven information delivery,” IEEE Transactions on Knowledge and Data Engineering, Vol. 11(4):610–628, 1999.

    Article  Google Scholar 

  29. G. Mecca and A.J. Bonner. “Finite query languages for sequence databases,” in Proc. Intl. Workshop on Database Programming Languages, 1995.

  30. M.F. Mokbel, X. Xiong, and W.G. Aref. “SINA: Scalable incremental processing of continuous queries in spatio-temporal databases,” in Proc. ACM SIGMOD Symp. on the Management of Data, 2004a.

  31. M.F. Mokbel, X. Xiong, W.G. Aref, S.E. Hambrusch, S. Prabhakar, and M.A. Hammad. “PLACE: A query processor for handling real-time spatiotemporal data streams,” in Proc. Intl. Conf. on Very Large Data Bases (VLDB), 1377–1380, 2004b.

  32. R. Ramakrishnan, D. Donjerkovic, A. Ranganathan, K.S. Beyer, and M. Krishnaprasad. “SRQL: Sorted relational query language,” in Proc. Intl. Conf. on Scientific and Statistical Databases (SSDBM), 84–95, 1998.

  33. P. Rigaux, M. Scholl, and A. Voisard. Spatial Databases. Morgan Kaufmann, San Francisco, 2001.

    Google Scholar 

  34. R. Sadri, C. Zaniolo, A.M. Zarkesh, and J. Adibi. “Optimization of sequence queries in database systems,” in Proc. ACM Symp. on Principles of Database Systems, 2001a.

  35. R. Sadri, C. Zaniolo, A.M. Zarkesh, and J. Adibi. “A sequential pattern query language for supporting instant data mining for e-services,” in Proc. Intl. Conf. on Very Large Data Bases (VLDB), 2001b.

  36. P. Seshadri, M. Livny, and R. Ramakrishnan. “SEQ: A model for sequence databases,” in Proc.IEEE Intl. Conf. on Data Engineering (ICDE), 232– 239, 1995.

  37. A. Sistla, O. Wolfson, S. Chamberlain, and S. Dao. “Modeling and querying moving objects,” in Proc. IEEE Intl. Conf. on Data Engineering (ICDE), 422–433, 1997.

  38. A.P. Sistla, T. Hu, and V. Chowdhry. “Similarity based retrieval from sequence databases using automata as queries,” in Proc. Intl. Conf. on Information and Knowledge Management, 237–244, 2002.

  39. J. Su, H. Xu, and O. Ibarra. “Moving objects: Logical relationships and queries,” in Proc. Intl. Conf. on Large Spatial Databases (SSD), 3–19, 2001.

  40. J. Sun, D. Papadias, Y. Tao, and B. Liu. “Querying about the past, the present, and the future in spatio-temporal,” in Proc. IEEE Intl. Conf. on Data Engineering (ICDE), 202–213, 2004.

  41. Y. Tao, D. Papadias, and Q. Shen. “Continuous nearest neighbor search,” in Proc. Intl. Conf. on Very Large Data Bases (VLDB), 287–298, 2002.

  42. D. Terry, D. Goldberg, D. Nichols, and B. Oki. “Continuous queries over append-only databases,” in Proc. ACM SIGMOD Symp. on the Management of Data, 1992.

  43. M. Vazirgiannis and O. Wolfson. “A spatiotemporal model and language for moving objects on road networks,” in Proc. Intl. Conf. on Large Spatial Databases (SSD), vol. 2121 of LNCS, 20–35, 2001.

  44. O. Wolfson, A.P. Sistla, B. Xu, J. Zhou, and S. Chamberlain. “DOMINO: Databases for moving objects tracking,” in Proc. ACM SIGMOD Symp. on the Management of Data, 547–549, 1999 (Demo sessions).

  45. X. Xiong, M.F. Mokbel, W.G. Aref, S.E. Hambrusch, and S. Prabhakar. “Scalable spatio-temporal continuous query processing for location-aware services,” in Proc. Intl. Conf. on Scientific and Statistical Databases (SSDBM), 317–326, 2004.

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Authors and Affiliations

  1. CEDRIC lab., CNAM, 292 Rue St Martin, F-75141, Paris Cedex 03, France

    Cédric du Mouza

  2. LAMSADE lab., Univ. Paris-Dauphine, Place du Maréchal de Lattre de Tassigny, F-75775, Paris cedex 16, France

    Philippe Rigaux

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  1. Cédric du Mouza
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  2. Philippe Rigaux
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Correspondence to Cédric du Mouza.

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du Mouza, C., Rigaux, P. Mobility Patterns. Geoinformatica 9, 297–319 (2005). https://doi.org/10.1007/s10707-005-4574-9

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