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Dynamic personalization and information integration in multi-channel data dissemination enviroments
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Source International Workshop on Data Engineering for Wireless and Mobile Access archive
Proceedings of the 2nd ACM international workshop on Data engineering for wireless and mobile access table of contents
Santa Barbara, California, United States
Pages: 104 - 109  
Year of Publication: 2001
ISBN:1-58113-412-6
Authors
Koichi Goto  Railway Technical Research Institute and Kyoto University, 2-8-38 Hikari-cho Kokubunji-shi, Tokyo, Japan 185-8540
Yahiko Kambayashi  Kyoto University, Yoshida-Honmachi, Sakyo-ko, Kyoto, Japan 606-8501
Sponsors
SIGMOD: ACM Special Interest Group on Management of Data
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

We have been developing mobile passenger support systems for the public transportation. In this application field, various kinds of data must be handled and integrated. Examples of such data are route information, fare information, area map, station map, planned operation schedule, real-time operation schedule, vehicle facilities etc.

Depending on the user situation, different information should be supplied and personalized. In this paper we propose the human support system used in the multi-channel data dissemination environments. There are two kinds of data dissemination sources in the proposed system, fixed and moving. The moving sources are transportation vehicles such as trains and buses. Although most of user requests are processed by means of integrating information transmitted by data dissemination method, on-demand process should be also required.

As the system must be used in the case of emergency when the system load is expected to be very high, we will not use a centralized system. Integrated personalization and filtering are performed at each terminal. In this paper we will discuss efficient procedure to handle dynamic integration, dynamic personalization and dynamic filtering using multiple data dissemination channels and on-demand data channels. Current prototype system developed to be used visually handicapped passengers is also shown.



Collaborative Colleagues:
Koichi Goto: colleagues
Yahiko Kambayashi: colleagues

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