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Tracking topics on revision graphs of Wikipedia edit history
https://ipsj.ixsq.nii.ac.jp/records/96140
https://ipsj.ixsq.nii.ac.jp/records/96140fecc989e-be6c-49d5-b13d-fe1117d5b7d4
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-DBS13158023.pdf (663.5 kB)
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Copyright (c) 2013 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | SIG Technical Reports(1) | |||||||
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| 公開日 | 2013-11-19 | |||||||
| タイトル | ||||||||
| タイトル | Tracking topics on revision graphs of Wikipedia edit history | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Tracking topics on revision graphs of Wikipedia edit history | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | 情報抽出 | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||
| 資源タイプ | technical report | |||||||
| 著者所属 | ||||||||
| Graduate School of Information, Production and Systems, Waseda University | ||||||||
| 著者所属 | ||||||||
| Graduate School of Information, Production and Systems, Waseda University | ||||||||
| 著者所属 | ||||||||
| Graduate School of Information, Production and Systems, Waseda University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Information, Production and Systems, Waseda University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Information, Production and Systems, Waseda University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Information, Production and Systems, Waseda University | ||||||||
| 著者名 |
Bonan, Li
× Bonan, Li
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| 著者名(英) |
Bonan, Li
× Bonan, Li
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Wikipedia is known as the largest online encyclopedia, in which articles are constantly contributed and edited by users. Past revisions of articles after edits are also accessible from the public for confirming the edit process. However, the degree of similarity between revisions is very high, so it is difficult to understand and summarize these small changes from revision graphs of Wikipedia edit history. In this paper, we propose an approach to give a concise summary to each change, by utilizing supergrams, which are consecutive unchanged token sequences, and topic detection methods. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Wikipedia is known as the largest online encyclopedia, in which articles are constantly contributed and edited by users. Past revisions of articles after edits are also accessible from the public for confirming the edit process. However, the degree of similarity between revisions is very high, so it is difficult to understand and summarize these small changes from revision graphs of Wikipedia edit history. In this paper, we propose an approach to give a concise summary to each change, by utilizing supergrams, which are consecutive unchanged token sequences, and topic detection methods. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AN10112482 | |||||||
| 書誌情報 |
研究報告データベースシステム（DBS） 巻 2013-DBS-158, 号 23, p. 1-7, 発行日 2013-11-19 |
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| Notice | ||||||||
| SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
