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| Masayuki Okabe | |
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JST Research Associate
Center for Information and Multimedia Studies Kyoto University okabe@mm.media.kyoto-u.ac.jp |
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| Research in the Digital City Project |
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I work as a researcher of the "Universal Design of Digital City" project
sponsored by JST CREST. My current research interest is the development of
an adaptive interface for the digital city. Adaptive here means the ability
to provide a user of the digital city with information adequate to the
user's goal, experience, location, and other individual data and
characteristics. This function would be especially appropriate for exploring
or "walking through" the digital city without any fixed purpose, just
similar to the surfing on the WWW. If the system would establish the knowledge
(i.e. a template for planning, information filtering rules, etc.) of the user
based on the user "personal" characteristics, it would actively(and even
without an input from the user) suggest information potentially interesting to
the user. It would then be not only of help in the navigation process, but
dynamically create new navigation plans in the digital city.
I am planning to externalize the individual characteristics in the form of typical user profiles and also propose a method for the application of the user profiles in the digital city. The possible deployment of user profiles is not limited to the cyber space - they would be linked with the real city through the global positioning system (GPS). The digital city would then be a training tool to acquire the user's characteristics, which are to be used in the real city. |
| Biography | |
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I received the Bachelor of Engineering degree from the department of
Information Systems Science, Faculty of Engineering, Soka University
in 1996, the Master of Engineering and Doctor of Engineering degrees
from the department of Computational Intelligence and Systems Science,
Interdisciplinary Graduate School of Science and Engineering, Tokyo
Institute of Technology in 1998 and 2001, respectively. In my doctoral
thesis "Interactive Information Retrieval with Relational Learning"
(supervised by associate professor Seiji Yamada), I have studied
intelligent information retrieval using a machine learning technique
called relational learning, which makes a query to an information
retrieval system based on training data prepared by asking the searcher
about the relevancy of the returned results. My doctor's thesis is posted on
ttp://www.ymd.dis.titech.ac.jp/dissertation.html, while a hard copy
(in Japanese)
of the dissertation is also available upon request to
okabe@mm.media.kyoto-u.ac.jp
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| Recent Publications | |
| 1. | Okabe, M., Yamada, S., "Interactive Web Page Filtering with Relational Learning," Proceedings of the First Asia-Pacific Conference on Web Intelligence, 2001 (to appear) |
| 2. | Okabe, M., Yamada, S., "Interactive Document Retrieval with Relational Learning," Proceedings of the 16th ACM Symposium on Applied Computing, pp.27-31, 2001 |
| 3. | Okabe, M., Yamada, S., "Interactive Document Retrieval with Relational Learning," Journal of Japanese Society for Artificial Intelligence, Vol.16, No.1P, 2001 |