抄録
Web exploration with trial and error have widely been conducted in intellectual activities such as research work and PBL. In such exploration, users should positively review the results of own searches to discover new valuable pages. However, such review imposes the burden on users since viewpoint of the exploration is variable and the involved information increases more and more with progress of the work. Therefore, it is particularly important but difficult for users to detect the search direction while examining the relationships between obtained pages and unknown pages on the Web. In this research, we were aiming at developing a novel system for visualizing pages and the involved factors across the gap between local area and the Web. This paper mainly describes the overview of our support method along with some snapshots of the prototype.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 |
編集者 | Fernando G. Tinetti, Quoc-Nam Tran, Leonidas Deligiannidis, Mary Qu Yang, Mary Qu Yang, Hamid R. Arabnia |
出版社 | Institute of Electrical and Electronics Engineers Inc. |
ページ | 858-863 |
ページ数 | 6 |
ISBN(電子版) | 9781538626528 |
DOI | |
出版ステータス | Published - 2018 12月 4 |
イベント | 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 - Las Vegas, United States 継続期間: 2017 12月 14 → 2017 12月 16 |
Other
Other | 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 |
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国/地域 | United States |
City | Las Vegas |
Period | 17/12/14 → 17/12/16 |
ASJC Scopus subject areas
- コンピュータ サイエンス(その他)
- 人工知能
- コンピュータ ネットワークおよび通信
- コンピュータ サイエンスの応用
- 安全性、リスク、信頼性、品質管理