立命館大学グローバルCOE　GCOEセミナー

2009年6月16日

第52回　GCOEセミナー

digital humanities 09　発表者による研究報告です。※通常通り衣笠会場で行うことになりました。

1.Interactive Visual Analysis of Personal Names in Japanese Historical Diary

講師：Toledo Nolasco Alejandro　（RA1 / デジタルアーカイブ技術研究班 / 立命館大学大学院理工学研究科・D1）
 

2. Digital museums in Second Life

講師：Kingkarn Sookhanaphibarn（PD/デジタルアーカイブ技術研究班）

時間：各日　18:00～19:30（6限）
場所：【衣笠】立命館大学アート・リサーチセンター　多目的ルーム
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https://www.arc.ritsumei.ac.jp/dhjac/ppt2009/haihusiryo-index.html

　Historical diaries provide information about and facilitate understanding of daily life during their periods. The historical diary of an aristocrat not only contains historic facts but might also help us disclose them. We present an interactive web-based system for visualizing aristocrat names mentioned in a historical Japanese diary called "Hyohanki" written by an aristocrat during the late Heian era (1132-1184).
　In our web-based system, the stacked graph is utilized to dynamically analyze the time-series of those aristocrat names. We have found that trends in the name occurrence and co-occurrence visualized by the system correlate well with historic facts regarding the rise and fall of power of as well as the confrontation among the corresponding aristocrats.
 

2.Kingkarn Sookhanaphibarn「Digital museums in Second Life」
    Over two decades, a great expectation on digital museums has been addressed but most of them have been implemented based on web technologies. Emerging Second Life, which supports rich communication, virtual collaboration, and 3-D content creation, has brought a new platform to digital museums.
As a result, a way to systematically manage and arrange a tremendous amount of information in SL museums is required. In addition, dynamic content and context to encourage audiences to return to the museum more frequently must be designed based on audience drives and preferences.
In this talk, a Content Management System (CMS) of digital museums in Second Life is presented to cope with these issues. Six proposed modules are the integral parts of CMS to handle data mining approaches inspired by a graph-based pattern retrieval system of audience activities and web-based recommender systems.

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