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系統識別號 U0002-2306200814542400
中文論文名稱 使用語意網路輔助以意圖導向之網路搜尋
英文論文名稱 Assisting Intention Oriented Web Search Based on Semantic Web
校院名稱 淡江大學
系所名稱(中) 資訊管理學系碩士班
系所名稱(英) Department of Information Management
學年度 96
學期 2
出版年 97
研究生中文姓名 許承睿
研究生英文姓名 Cheng-Jui Hsu
學號 695631803
學位類別 碩士
語文別 中文
口試日期 2008-05-24
論文頁數 56頁
口試委員 指導教授-劉艾華
委員-林東清
委員-金力鵬
中文關鍵字 語意網路  本體論  意圖導向  網路搜尋 
英文關鍵字 Semantic web  Ontology  Intention Oriented  Web Search 
學科別分類 學科別社會科學管理學
學科別社會科學資訊科學
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.
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

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2. Ambriola, V. and Gervasi, V., Processing natural language requirements , 12th IEEE International Conference on Automated Software Engineering (ASE'97) (formerly: KBSE) p.36
3. Bader, J. L. and Theofanos, M. F., Searching for Cancer Information on the Internet: Analyzing Natural Language Search Queries, Journal of Medical Internet Research. 2003 Oct–Dec; 5(4): e31.
4. Baldwin, D. A. and Baird, J. A., Discerning intentions in dynamic human action, Trends in Cognitive Sciences ,Volume 5, Issue 4, 1 April 2001, Pages 171-178
5. Brin, S. and Page, L., The anatomy of a large-scale hypertextual Web search engine, Computer Networks and ISDN Systems .Volume 30, Issues 1-7, April 1998, Pages 107-117
6. Daconta, M. C., Obrst, L. J. and Smith, K. T., The Semantic Web: A Guide to the Future of XML, Web Services and Knowledge Management, Wiley Publish, 2003.
7. Ding, C. H. and Buyya R., Guided Google: A Meta Search Engine and its Implementation using the Google Distributed Web Services, http://arxiv.org/abs/cs.DC/0302018
8. Ding, L., Finin, T., Joshi, A., Pan, R., Cost, S. R., Peng, Y., Reddivari,P., Doshi, V. and Sachs, J., Swoogle: A Search and Metadata Engine for the Semantic Web, Department of Computer Science and Electronic Engineering University of Maryland Baltimore County, Baltimore MD 21250, USA.
9. Ding, Y., Ontology: The enabler for the Semantic Web, Journal of Information Science, Vol. 27, No. 6, 2001, pp. 377-384.
10. Fox, V., The Promise of Natural Language Search, Information Today. Medford: Jan 2008. Vol. 25, Iss. 1; pg. 50, 1 pgs
11. Gruber, T. R., A Translation Approach to Portable Ontology Specifications, Knowledge to Acquisition, Vol. 5, Iss. 2, 1993, pp.199-220.
12. Gruber, T. R., Towards Principles for the Design of Ontologies Used for Knowledge Sharing, International Journal of Human-Computer Studies, Vol. 43, Iss. 5-6, 1995, pp.907-928.
13. Kietz, J., Volz, R. and Maedche, A., Extracting a Domain-Specific Ontology from a Corporate Intranet, Proceedings of CoNLL-2000 and LLL-2000, pages 167-175, Lisbon, Portugal, 2000.
14. Maedche, A. and Staab S., Ontology Learning for the Semantic Web, IEEE Intelligent Systems. March/April 2001 (Vol. 16, No. 2) pp. 72-79
15. McMurdo, G., How the Internet was indexed, Journal of Information Science, Vol. 21, No. 6, 479-489 (1995)
16. Noy, N. F., Sintek, M., Decker, S., Crubézy, M., Fergerson, R. W. and Musen, M. A., Creating Semantic Web Contents with Protégé-2000, IEEE Intelligent Systems, Vol. 16, Iss. 2, 2001, pp. 60-71.
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.
18. Röhle, T., Desperately seeking the consumer : Personalized search engines and the commercial explitation of user data, First Monday, volume 12, number 9 (September 2007),URL: http://firstmonday.org/issues/issue12_9/rohle/index.html
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.
20. Shah, U., Finin, T.and Joshi, A., Cost, S. R. and Mayfield, J., Information Retrieval On The Semantic Web, CIKM’02, November 4–9, 2002, McLean, Virginia, USA.
21. Schabes, Y., Search & Retrieval Using Natural Language Technology, AIIM E - Doc Magazine, 2006, 20, 6, 18
22. An Introduction to NLP http://WWW.cs.bham.ac.uk/~pxc/nlpa/2002/AI-HO-IntroNLP.html
23. Creative Commons, http://creativecommons.org/
24. Digital rights management – Wikipedia , http://en.wikipedia.org/wiki/Digital_rights_management
25. Extensible Markup Language (XML), http://WWW.w3.org/XML/
26. Library Definitions: Keyword Search, http://iws.ohiolink.edu/~sg-ysu/def.html
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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