{"created":"2025-01-18T23:07:26.643751+00:00","updated":"2025-01-22T12:28:58.774885+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00040297","sets":["1164:3500:3525:3528"]},"path":["3528"],"owner":"1","recid":"40297","title":["Web上のキーパーソンの発見と関係の可視化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2003-05-22"},"_buckets":{"deposit":"913ef456-8f41-4c21-9501-b97dc08ee244"},"_deposit":{"id":"40297","pid":{"type":"depid","value":"40297","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"Web上のキーパーソンの発見と関係の可視化","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Web上のキーパーソンの発見と関係の可視化"},{"subitem_title":"Finding Key People and Visualizing their Relationships on the Web","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2003-05-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"NTT未来ねっと研究所"},{"subitem_text_value":"NTT未来ねっと研究所"},{"subitem_text_value":"NTT未来ねっと研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"NTT Network Innovation Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Network Innovation Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Network Innovation Laboratories","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/40297/files/IPSJ-FI03071003.pdf"},"date":[{"dateType":"Available","dateValue":"2005-05-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-FI03071003.pdf","filesize":[{"value":"95.7 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"39"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a1e36066-4ceb-4af2-8c6d-94bf1dd71d30","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2003 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"原田, 昌紀"},{"creatorName":"佐藤進也"},{"creatorName":"風間, 一洋"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masanori, Harada","creatorNameLang":"en"},{"creatorName":"Shin-Ya, Sato","creatorNameLang":"en"},{"creatorName":"Kazuhiro, Kazama","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10114171","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"我々は文書検索と固有表現抽出を組み合わせた情報検索手法NEXAS(Named Entity eXtraction and Association Search)を提案する．NEXASは，検索質問と適合する文書だけでなく，それらと関連する実世界のエンティティを発見する．これにより利用者は文書集合内の情報に加え，実世界に関する知識を得ることができる．本稿では提案手法の実際的な適用例として，与えられたトピックに関するキーパーソンをWeb上から発見するシステムについて述べる．また，キーパーソン間の関係を無向グラフとして可視化する方法を説明する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose NEXAS(Named Entity eXtraction and Association Search), an information retrieval method that combines document retrieval with named entity extraction.  NEXAS finds not only documents relevant to a query but also real world entities related to them.  This helps users to get real world knowledge as well as information in the document collection. As a practical application of the proposed method, this paper presents a system to find key people on the Web for a given topic. We also describe a visualization method of relationships of key people as undirected graphs.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"24","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告情報学基礎（FI）"}],"bibliographicPageStart":"17","bibliographicIssueDates":{"bibliographicIssueDate":"2003-05-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"51(2003-FI-071)","bibliographicVolumeNumber":"2003"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":40297,"links":{}}