Location-Aware Agent Using Data Mining for the Distributed Location-Based Services

  • Jaewan Lee
  • Romeo Mark A. Mateo
  • Bobby D. Gerardo
  • Sung-Hyun Go
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3984)


Currently, one of the popular topics of research is location-awareness. Adding this function to location-based services provides necessary information to the user within the location to be aware of the user’s position. But some LBS have insufficiencies of providing relevant information to the mobile subscriber. In this research, we proposed a location-aware agent that interacts with the LBS and provides location-aware service by adding a of data mining task. This agent extracts additional information by deploying a mobile agent in the database of LBS and mines the data. To make our approach efficient, we used a data mining method that extracts the relevant information according to the user agent profiles. This enables the proposed system to select information and summarizes the result of location-aware data for the user.


Data Mining Geographic Information System Mobile User Mobile Agent User Profile 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Jensen, C.: Research Challenges in Location-Enabled M-Services. In: Proceedings of the Third International Conference on Mobile Data Management, pp. 3–7 (2002)Google Scholar
  2. 2.
    Hightower, J., Borriello, G.: Location Systems for Ubiquitous Computing. Computer 34(8), 57–66 (2001)CrossRefGoogle Scholar
  3. 3.
    Patterson, C., Muntz, R., Pancake, C.: Challenges in Location-Aware Computing. IEEE Pervasive Computing 2(2), 80–89 (2003)CrossRefGoogle Scholar
  4. 4.
    Fischmeister, S.: Mobile Software Agents for Location-based Systems. Available at, www.old.netobjectdays.org/pdf/02/papers/ws-ages/0934.pdf
  5. 5.
    Want, R., Hopper, A., Falcao, V., Gibbons, J.: The Active Badge Location System. ACM Transactions on Information Systems 10(1), 91–102 (1992)CrossRefGoogle Scholar
  6. 6.
    Mateo, R.M., Lee, J.W., Kwon, O.: Hierarchical Structured Multi-agent for Distributed Databases in Location Based Services. The Journal of Information Systems, Special Issue 14, 17–22 (2005)Google Scholar
  7. 7.
    Ranganathan, A., Al-Muhtadi, J., Chutan, S., Campbell, R., Mickunas, D.: MiddleWhere: A Middleware for Location Awareness in Ubiquitous Computing ApplicationsGoogle Scholar
  8. 8.
    Gerardo, B.D., Lee, J.W., Joo, S.: The HCARD Model using an Agent for Knowledge Discovery. The Journal of Information Systems, Special Issue 14, 53–58 (2005)Google Scholar
  9. 9.
    Black, K., Currey, J., Kangasharju, J., Lansio, J., Raatikainen, K.: Wireless Access and Terminal Mobility in CORBA. Available at, http://www.omg.org/technology/documents/formal/telecom_wireless.htm
  10. 10.
    Yavas, G., Katsaros, D., Ulusoy, O., Manolopoulos, Y.: A Data Mining Approach for Location Prediction in Mobile Environments. Data & Knowledge Engineering 54, 121–146 (2005)CrossRefGoogle Scholar
  11. 11.
    Bellavista, P., Corradi, A., Stenfalli, S.: Mobile Agent Middleware for Mobile Computting. Computer Journal, 73–81 (March 2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jaewan Lee
    • 1
  • Romeo Mark A. Mateo
    • 1
  • Bobby D. Gerardo
    • 1
  • Sung-Hyun Go
    • 1
  1. 1.School of Electronic and Information EngineeringKunsan National UniversityChonbukSouth Korea

Personalised recommendations