§ 瀏覽學位論文書目資料
  
系統識別號 U0002-2306200814542400
DOI 10.6846/TKU.2008.00777
論文名稱(中文) 使用語意網路輔助以意圖導向之網路搜尋
論文名稱(英文) Assisting Intention Oriented Web Search Based on Semantic Web
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 資訊管理學系碩士班
系所名稱(英文) Department of Information Management
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 96
學期 2
出版年 97
研究生(中文) 許承睿
研究生(英文) Cheng-Jui Hsu
學號 695631803
學位類別 碩士
語言別 繁體中文
第二語言別
口試日期 2008-05-24
論文頁數 56頁
口試委員 指導教授 - 劉艾華(liou@mail.tku.edu.tw)
委員 - 林東清
委員 - 金力鵬
關鍵字(中) 語意網路
本體論
意圖導向
網路搜尋
關鍵字(英) Semantic web
Ontology
Intention Oriented
Web Search
第三語言關鍵字
學科別分類
中文摘要
以關鍵字使用網路搜尋引擎時,由於搜尋範圍過度廣泛,得到的搜尋結果通常不夠精確。為了解決這個問題,本研究提出一套以意圖為導向的機制以協助網路搜尋。我們透過Ontology建構出對於使用網頁可能的意圖加以描述,並蒐集使用者對於網頁的意圖描述加入此Ontology。在搜尋端時讓使用者在可以針對其搜尋意圖輸入需求,以得到意圖導向的搜尋結果。
  在現存的各種搜尋機制中,使用者提供查詢的條件即是一種意圖的表達,但往往由於過度簡化以致表達能力貧乏,或過度複雜造成機器不易處理的情況。我們提出一個可以對網頁作意圖描述的機制,期望協助使用者在網路搜尋時更加精確表達其搜尋時的意圖,並依據此內容達到正確的搜尋結果。
英文摘要
The inaccuracy of the internet search based solely on key words is usually resulted from the enormous scope of the search. In order to solve the problem, this research provides an intention-oriented system to assist the search engine. Thus, we establish the possible intention to the web pages through Ontology which includes the search-engine-users’ intensions that will be collected cooperatively. The users could get the intention-oriented search results by adding its search intension when working on the search surface.
   In existing searching systems, the function of specifying the search conditions is actually one way of showing the intension of users. However, it’s not easy for computer to process the search conditions which might be oversimplified or too complicated.  In summary, we expect to assist users to express their searching intention more accurately and to get the required information by providing an intention-oriented web search system.
第三語言摘要
論文目次
第一章 緒論	1
第二章 文獻探討	3
2.1 Search Mechanism	3
2.1.1 Keyword Search	3
2.1.2 Natural Language Search	3
2.1.3 Intention Oriented Search	4
2.2 Semantic Web	4
2.2.1 Semantic Web的表示方式	5
2.3 Creative Commons	8
2.4 Ontology	8
第三章 Ontology系統	10
3.1 建立Ontology	10
3.1.1 定義Ontology領域與相關名詞	10
3.2 RDF-base網頁描述架構	12
3.3 建立class、slot與instance	15
第四章 意圖導向之網路搜尋系統	18
4.1 系統說明	18

4.2 系統介面	19
第五章 實驗	25
5.1 實驗目的	25

5.2 實驗方式	25
5.2.1 實驗範例定義	25
5.2.2 實驗流程	26
5.3 實驗結果	31
第六章 結論與建議	33
6.1 結論	33

6.2 後續研究	34

參考文獻 35
附錄一 39
附錄二 49

圖目錄

圖 1 RDF – Triple	6
圖 2 意圖擷取	11
圖 3 RDF-base網頁描述架構	13
圖 4 Ontology組成架構      16
圖 5 Ontology系統	17
圖 6 系統流程	19
圖 7 Assign介面	20
圖 8 List : WebPage	21
圖 9  Search介面	22
圖 10 執行結果    24
圖 11 實驗流程step1	26
圖 12 意圖註記結果	27
圖 13 實驗流程step2	28
圖 14 搜尋結果命中分配圖	30

表目錄

表 1 描述種類目錄	12
表 2 Intentional Search Result	29
表 3 搜尋結果命中統計表	32
參考文獻
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17.	Noy, N. F. and McGuinness, D. L., Ontology Development 101: A Guide to Creating Your First Ontology, Stanford Knowledge Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880, 2001.
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19.	Ruckhaus, E. and Vidal, M. E., An Ontology Language to Describe and Query Web Sources, WIDM’03, November 7–8, 2003, New Orleans, Louisiana, USA.
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23.	Creative Commons, http://creativecommons.org/
24.	Digital rights management – Wikipedia , http://en.wikipedia.org/wiki/Digital_rights_management
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27.	OWL Web Ontology Language Guide, W3C Recommendation 10 February 2004, http://WWW.w3.org/TR/2004/REC-owl-guide-20040210/
28.	Resource Description Framework (RDF), http://WWW.w3.org/RDF/
29.	The Protégé Project, http://Protégé.stanford.edu/
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