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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 黃乾綱 | |
| dc.contributor.author | Shang-Wei Hsieh | en |
| dc.contributor.author | 謝尚偉 | zh_TW |
| dc.date.accessioned | 2021-06-16T08:13:43Z | - |
| dc.date.available | 2019-03-21 | |
| dc.date.copyright | 2014-03-21 | |
| dc.date.issued | 2014 | |
| dc.date.submitted | 2014-02-14 | |
| dc.identifier.citation | 1. Chromosome. Available from: http://www.accessexcellence.org/RC/VL/GG/nhgri_PDFs/chromosome.pdf.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/58397 | - |
| dc.description.abstract | 在從事生物醫學相關研究的草創階段中，找尋相關科學文獻並且將研究人員過去所私有的生物醫學實驗資料對應到科學文獻對於研究者是一件重要的工作。本研究提出一搜尋系統，主要探討在大量的生物醫學文獻中進行快速檢索，其中採用的公開科學文獻資料庫為美國國家圖書館所建立的平台—PubMed，並且採用字詞探勘技術—名稱辨識進行蛋白質名稱的字詞抽取；再以本研究所提出的規則法對蛋白質名稱進行正規化取得識別碼，並以此識別碼連接至實驗數據資料庫。其目的為讓使用者在短時間之內能夠以圖形化的方式呈現私有的實驗數據與相關科學文獻等資訊，藉此得知實驗數據在其檢索出的相關文件中所佔有的重要性與關聯性，進一步發現可研究的議題或更有價值的資訊。 | zh_TW |
| dc.description.abstract | In the beginning of biomedical research works, mapping researchers’ proprietary experiment data to public research literatures is an important work. In this paper, a search engine is proposed to retrieve large scale biomedical literatures which are collected from PubMed in an efficient way. Moreover, we apply a name entity recognition tool which is a kind of text-mining technique to extract protein names from the biomedical literatures. Afterward, the protein names are normalized to IDs which can be linked to the researchers’ proprietary experiment databases and using web techniques automatically plot the charts for the relevant proprietary data; through these processes, the researchers can efficiently get the relevance between their proprietary data and the public papers also can help them to find more available research works. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T08:13:43Z (GMT). No. of bitstreams: 1 ntu-103-R00525081-1.pdf: 1805400 bytes, checksum: 89ec942b1f233ba0e52567e4224cb798 (MD5) Previous issue date: 2014 | en |
| dc.description.tableofcontents | 致謝 i
摘要 ii ABSTRACT iii 目錄 iv 圖目錄 vi 表目錄 vii 第 1 章 緒論 1 1.1 學術文獻檢索 1 1.2 動機 2 1.3 連結私有資料庫的檢索系統 3 第 2 章 相關研究 5 2.1 生醫字詞探勘 5 2.1.1 資訊檢索 5 2.1.2 資訊擷取 6 2.2 公開資源 10 2.2.1 文獻資料庫 10 2.2.2 基因體資料庫 12 2.3 私有資料庫 13 2.3.1 次世代定序 13 2.3.2 基因表現量 15 第 3 章 系統架構與設計 16 3.1 系統架構 16 3.2 模組一：文獻檢索 17 3.2.1 蒐集文獻 18 3.2.2 建立索引 20 3.2.3 搜尋 26 3.3 模組二：蛋白質名稱辨識 27 3.4 模組三：名稱正規化 29 3.5 模組四：連結私有資料庫 31 第 4 章 實驗與討論 33 4.1 驗證方法與實驗 33 4.1.1 驗證方法 33 4.1.2 蛋白質名稱辨識的準確率 34 4.1.3 名稱正規化的準確率 36 4.2 討論 40 4.2.1 名稱正規化實驗方法的討論 40 4.2.2 系統使用案例的討論 40 第 5 章 總結 42 5.1 結論 42 5.2 未來展望 42 參考文獻 44 附錄一 50 附錄二 51 附錄三 55 | |
| dc.language.iso | zh-TW | |
| dc.subject | 生物資訊 | zh_TW |
| dc.subject | 字詞探勘 | zh_TW |
| dc.subject | 資訊檢索 | zh_TW |
| dc.subject | Information retrieval | en |
| dc.subject | Text-mining | en |
| dc.subject | Bioinformatics | en |
| dc.title | 利用搜尋及探勘相關公開文獻的生醫詞彙快速探索私有實驗資料的資訊檢索系統 | zh_TW |
| dc.title | An Information Retrieval System for Fast Exploration of Proprietary Experimental Data via Searching and Mining the Biomedical Entities in Related Public Literatures | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 102-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳倩瑜,林詩舜,張恆華 | |
| dc.subject.keyword | 資訊檢索,字詞探勘,生物資訊, | zh_TW |
| dc.subject.keyword | Information retrieval,Text-mining,Bioinformatics, | en |
| dc.relation.page | 60 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2014-02-14 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工程科學及海洋工程學研究所 | zh_TW |
| 顯示於系所單位： | 工程科學及海洋工程學系 | |
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