Publications-Journal Articles

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 「相關」與「模糊」在資訊檢索領域中關係驗證與分析
其他題名 Verification and Analysis of the Notions of “Relevant” and “Fuzzy”
作者 李煜基
Li, Yu-Ji
洪一梅
Hung, I-Mei
關鍵詞 書目計量; 相關理論; 模糊理論; 資訊檢索
Bibliometrics; Relevant theory; Fuzzy theory; Information retrieval
日期 2007-02
上傳時間 27-Jun-2016 14:43:45 (UTC+8)
摘要 在資訊檢索中,「相關理論」是重要的基礎概念;而在資訊檢索的技術發展中,「模糊理論」亦是重要的議題。本文除針對此二種理論進行深入介紹與概念內涵比較解析外,並以文獻計量方法驗證二者的應用核心領域,及進行二者的關聯研究。文末嘗試依據上述結果,推測「相關」及「模糊」在「資訊檢索」領域中可能的應用發展趨勢。
The “Relevant Theory” and the “Fuzzy Theory” are two important topics in Information Retrieval (IR). In addition to thoroughly explicating the two theories, this paper adopts the method of bibliometrics to verify and analyze the respective core fields of applications and the connection between the two notions of “relevant” and “fuzzy.” Furthermore, this study also suggests probable extensive applications of the two theories in the future trends of information retrieval.
關聯 圖書與資訊學刊, 60, 28-48
Journal of Librarianship and Information Science
資料類型 article
DOI http://dx.doi.org/10.6575/JoLIS.2007.60.03
dc.creator (作者) 李煜基zh_TW
dc.creator (作者) Li, Yu-Ji
dc.creator (作者) 洪一梅zh_TW
dc.creator (作者) Hung, I-Mei
dc.date (日期) 2007-02
dc.date.accessioned 27-Jun-2016 14:43:45 (UTC+8)-
dc.date.available 27-Jun-2016 14:43:45 (UTC+8)-
dc.date.issued (上傳時間) 27-Jun-2016 14:43:45 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/98354-
dc.description.abstract (摘要) 在資訊檢索中,「相關理論」是重要的基礎概念;而在資訊檢索的技術發展中,「模糊理論」亦是重要的議題。本文除針對此二種理論進行深入介紹與概念內涵比較解析外,並以文獻計量方法驗證二者的應用核心領域,及進行二者的關聯研究。文末嘗試依據上述結果,推測「相關」及「模糊」在「資訊檢索」領域中可能的應用發展趨勢。
dc.description.abstract (摘要) The “Relevant Theory” and the “Fuzzy Theory” are two important topics in Information Retrieval (IR). In addition to thoroughly explicating the two theories, this paper adopts the method of bibliometrics to verify and analyze the respective core fields of applications and the connection between the two notions of “relevant” and “fuzzy.” Furthermore, this study also suggests probable extensive applications of the two theories in the future trends of information retrieval.
dc.format.extent 469734 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) 圖書與資訊學刊, 60, 28-48
dc.relation (關聯) Journal of Librarianship and Information Science
dc.subject (關鍵詞) 書目計量; 相關理論; 模糊理論; 資訊檢索
dc.subject (關鍵詞) Bibliometrics; Relevant theory; Fuzzy theory; Information retrieval
dc.title (題名) 「相關」與「模糊」在資訊檢索領域中關係驗證與分析zh_TW
dc.title.alternative (其他題名) Verification and Analysis of the Notions of “Relevant” and “Fuzzy”
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.6575/JoLIS.2007.60.03
dc.doi.uri (DOI) http://dx.doi.org/10.6575/JoLIS.2007.60.03