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Extracting Meaningful Contexts from Mobile Life Log

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Intelligent Data Engineering and Automated Learning - IDEAL 2007 (IDEAL 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4881))

Abstract

Life logs include people’s experiences collected from various sources. It is used to support user’s memory. There are many studies that collect and store life log for personal memory. In this paper, we collect log data from smart phone, derive contexts from the log, and then identify which is meaningful context by using a method based on KeyGraph. To evaluate the proposed method, we show an example of the meaningful places by using contexts and GPS logs collected from two users.

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References

  1. Raento, M., Oulasvirta, A., Petit, R., Toivonen, H.: ContextPhone: A Prototyping Platform for Context-aware Mobile Applications. IEEE Pervasive Computing 4(2), 51–59 (2005)

    Article  Google Scholar 

  2. Panu, K., Jani, M., Juha, K., Heikki, K., Esko-Juhani, M.: ContextPhone: Managing Context Information in Mobile Devices. IEEE Pervasive Computing 2(3), 42–51 (2003)

    Article  Google Scholar 

  3. Aizawa, K., Hori, T.: Context-based Video Retrieval System for the Life-log Applications. In: Proc. of MIR 2003, pp. 31–38. ACM, New York (2003)

    Google Scholar 

  4. Gemmell, J., Bell, G., Lueder, R.: MyLifeBits: A Personal Database for Everything. Communications of the ACM 49(1), 88–95 (2006)

    Article  Google Scholar 

  5. Kim, K.-J., Jung, M.-C., Cho, S.-B.: KeyGraph-based Chance Discovery for Mobile Contents Management System. Knowledge-based and Intelligent Engineering Systems (KES Journal) (to appear, 2007)

    Google Scholar 

  6. Cho, S.-B, Kim, K.-J., Hwang, K.-S., Song, I.-J.: AnyDiary: Daily Cartoon-Style Diary Exploits Bayesian Networks. IEEE Pervasive Computing 6(3), 66–75 (2007)

    Article  Google Scholar 

  7. Aizawa, K., Tancharoen, D., Kawasaki, S., Yamasaki, T.: Efficient Retrieval of Life Log based on Context and Content. In: Proceedings of the 1st ACM workshop on Continuous Archival and Retrieval of Personal Experiences, New York, USA, pp. 22–31 (2004)

    Google Scholar 

  8. Okazaki, N., Ohsawa, Y.: Polaris: An Integrated GPS Log Miner for Chance Discovery. In: Proceedings of the Third International Workshop on Chance Discovery and Its Management, Crete, Greece, pp. 27–30 (2003)

    Google Scholar 

  9. Ohsawa, Y.: Keygraph as Risk Explorer in Earthquake-sequence. Journal of Contingencies and Crisis Management 10, 119–128 (2002)

    Article  MathSciNet  Google Scholar 

  10. Blighe, M., Le Borgne, H., O’Connor, N., Smeaton, A.F., Jones, G.: Exploiting Context Information to Aid Landmark Detection in SenseCam Images. Communications of the ACM 49(1), 88–95 (2006)

    Article  Google Scholar 

  11. Ohsawa, Y., Benson, E.N., Yachida, M.: Keygraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor. In: IEEE ADL 1998. Proc. Advanced Digital Library Conference, pp. 12–18 (1998)

    Google Scholar 

  12. Horvitz, E., Dumais, S., Koch, P.: Learning Predictive Models of Memory Landmarks. In: CogSci 2004. 26th Annual Meeting of the Cognitive Science Society, Chicago, pp. 1–6 (2004)

    Google Scholar 

  13. Abowd, D.G., Dey, K.A., Brown, J.P., Davies, N., Smith, M., Steggles, P.: Towards a Better Understanding of Context and Context-Awareness. In: Gellersen, H.-W. (ed.) HUC 1999. LNCS, vol. 1707, pp. 304–307. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

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Hujun Yin Peter Tino Emilio Corchado Will Byrne Xin Yao

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© 2007 Springer-Verlag Berlin Heidelberg

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Lee, Y., Cho, SB. (2007). Extracting Meaningful Contexts from Mobile Life Log. In: Yin, H., Tino, P., Corchado, E., Byrne, W., Yao, X. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2007. IDEAL 2007. Lecture Notes in Computer Science, vol 4881. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77226-2_75

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  • DOI: https://doi.org/10.1007/978-3-540-77226-2_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77225-5

  • Online ISBN: 978-3-540-77226-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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