利用語意網技術建置智慧型搜尋引擎

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姓名

黃福銘(Fu-Ming Huang) 查詢紙本館藏

畢業系所

網路學習科技研究所

論文名稱

利用語意網技術建置智慧型搜尋引擎
(Intelligent Search Engine with Semantic Web Technology)

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本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

在一般的搜尋引擎使用經驗上，使用者往往會搜尋到大量的資訊，其中更可能包含了與使用者原始目的不相同的文件。主要原因是因為電腦在搜尋文件的過程中往往只是針對字面上的詞去做比對，而沒有詳細去分析該字詞的真正語意為何。
本研究的目標為提升搜尋引擎的效率並協助使用者搜尋正確的文件，以強化對於搜尋結果的滿意度以及實用度。我們利用了本體論方法來強化搜尋階段所需的數位內容的語意描述。針對實驗室數位圖書館的環境下，我們提出了數位典藏本體論，用以描述文獻內容的意義，領域知識，以及使用者描述資訊。搭配邏輯推理相關機制，發展了推論式的智慧型搜尋引擎。其目的為協助使用者搜尋學術相關文獻，並可根據使用者的背景知識提供其容易理解的相關資訊。
實驗結果顯示推論式搜尋方法可以有效的提升搜尋引擎的效益。有別於傳統關鍵字搜尋的機制，本研究的成果可以有效的推演出使用者的需求並精確的搜尋出符合使用者語意的文獻內容。

摘要(英)

According to the experience of retrieving content via search engine, people often get a great deal of responded information. Somehow, part of them is irrelevant to user’s intention. The main reason caused this problem is the lacking of enough semantic description for digital content during the analyzing, searching and matching processes.
The purpose of our study is to improve the searching efficiency, user’s satisfactions and practicability. We apply ontology theory to content description, which is used in matching process. In digital library application, we proposed Digital Library Ontology to establish the descriptions of contents, domain knowledge and user profiles. Utilizing reasoning technique, we developed an inference-based intelligent search engine to assist literatures retrieval based on users’’ background knowledge.
Experiments show the proposed intelligent search engine can efficiently improve searching performance. To distinguish from traditional keywords search, our approach can provide better searching result, which is based on deduced needs from user. The responded literatures are verified to have better comprehension to user.

關鍵字(中)

★ 網頁本體論語言
★ 使用者特性
★ 數位典藏
★ 搜尋引擎
★ 資訊檢索
★ 推理機
★ 本體論
★ 語意網
★ 描述邏輯

關鍵字(英)

★ Information Retrieval
★ Reasoner
★ Semantic Web
★ Digital Library
★ Search Engine
★ Description Logic
★ Web Ontology Language (OWL)
★ Ontology
★ User Profile

論文目次

1 INTRODUCTION 01
1.1 BACKGROUND 01
1.2 MOTIVATION AND OBJECTIVES 02
1.3 RESEARCH SCOPE 06
1.4 THESIS OUTLINE 06
2 RELATED WORKS 08
2.1 SEARCH ENGINES 08
2.2 INFORMATION RETRIEVAL 12
3 PRELIMINARIES 13
3.1 ONTOLOGY 13
3.2 WEB ONTOLOGY LANGUAGE 15
3.3 DESCRIPTION LOGIC SYSTEM 18
4 INTELLIGENT CONTENT SEARCH ENGINE 21
4.1 SYSTEM ARCHITECTURE 21
4.2 DIGITAL LIBRARY ONTOLOGY 22
4.3 SEARCH MECHANISM 27
4.3.1 Content Register 28
4.3.2 Content Search 28
5 EXPERIMENT DATA AND RESULT 38
5.1 EVALUATION 39
5.2 EXPERIMENT RESULT 40
6 CONCLUSIONS 45
6.1 CONTRIBUTIONS 45
6.2 FUTURE WORKS 47
7 REFERENCE 49
APPENDIX 1 CLASSES HIERARCHY OF DL-ONTOLOGY 56
APPENDIX 2 CLASS HIERARCHY OF SUBJECT TAXONOMY 57

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URL Reference
[CiteSeer] CiteSeer http://citeseer.ist.psu.edu/
[Clusty] Clusty http://clusty.com/
[DAML] The DARPA Agent Markup Language Homepage http://www.daml.org/
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[Google Scholar] Google Scholar http://scholar.google.com/
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[OWL] Web Ontology Language (OWL) http://www.w3.org/2004/OWL/
[prefuse] prefuse http://prefuse.sourceforge.net/
[SCIRUS] SCIRUS http://www.scirus.com/
[Semantic Web] Semantic Web http://www.w3.org/2001/sw/
[Vivísimo] Vivísimo http://vivisimo.com/

指導教授

楊鎮華(Jenn-Hwa Yang)

審核日期

2005-7-6

推文