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A STUDY ON NAME DISAMBIGUATION USING WEB DIRECTORIES
https://doi.org/10.15083/00002414
https://doi.org/10.15083/00002414129c4278-5a2f-4ca7-b96e-2799fafb48a2
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
48057401.pdf (975.5 kB)
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| Item type | 学位論文 / Thesis or Dissertation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2012-03-01 | |||||
| タイトル | ||||||
| タイトル | A STUDY ON NAME DISAMBIGUATION USING WEB DIRECTORIES | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Name disambiguation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Web directories | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_46ec | |||||
| 資源タイプ | thesis | |||||
| ID登録 | ||||||
| ID登録 | 10.15083/00002414 | |||||
| ID登録タイプ | JaLC | |||||
| その他のタイトル | ||||||
| その他のタイトル | ウェブディレクトリを用いた人名の曖昧性解消に関する研究 | |||||
| 著者 |
Vu, Quang Minh
× Vu, Quang Minh |
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| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 6676 | |||||
| 姓名 | ヴー, クァン ミン | |||||
| 著者所属 | ||||||
| 値 | 大学院情報理工学系研究科電子情報学専攻 | |||||
| 著者所属 | ||||||
| 値 | Graduate School of Information Science and Technology Department of Information and Communication Engineering The University of Tokyo | |||||
| Abstract | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | In the current World Wide Web, information is increasing explosively. To search for valuable information from this huge database are increasing needs from users. Search engines are playing as gateways for users to acquire useful information. Among requests of users to search engines, a certain amount of requests are to search for information related to people. However, since a personal name is often shared by several people, search results for a personal name query tend to contain documents relevant to several people. In our research, we tried to disambiguate names of people in the results from search engines. We proposed to use web directories as additional information to improve the disambiguation performance. We used information from web directories to improve the extraction of contexts related to people in documents and to improve the name disambiguation performance. We carried experiments with several well known web directories to disambiguate real documents containing ambiguous names. The experiment results showed that our approaches extracted contexts of people effectively and performed better than other approaches that used the vector space model method and the named entity recognition method. | |||||
| 書誌情報 | 発行日 2008-03 | |||||
| 日本十進分類法 | ||||||
| 主題Scheme | NDC | |||||
| 主題 | 548 | |||||
| 学位名 | ||||||
| 学位名 | 博士(情報理工学) | |||||
| 学位 | ||||||
| 値 | doctoral | |||||
| 学位分野 | ||||||
| 値 | Information Science and Technology (情報理工学) | |||||
| 学位授与機関 | ||||||
| 学位授与機関名 | University of Tokyo (東京大学) | |||||
| 研究科・専攻 | ||||||
| 値 | Department of Information and Communication Engineering, Graduate School of Information Science and Technology (情報理工学系研究科電子情報学専攻) | |||||
| 学位授与年月日 | ||||||
| 学位授与年月日 | 2008-03-24 | |||||
| 学位授与番号 | ||||||
| 学位授与番号 | 甲第23941号 | |||||
| 学位記番号 | ||||||
| 値 | 博情第186号 | |||||
