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研究生： 簡至良
Zhi-Liang Chien
論文名稱： 半自動標記系統來提升OWL為基的語意搜尋
Semi-automatic Annotation System to Enhance OWL-based Semantic Search
指導教授： 陳振炎
Jen-Yen CHEN
口試委員:
學位類別： 碩士
Master
系所名稱： 資訊電機學院 - 軟體工程研究所
Graduate Institute of Software Engineering
畢業學年度： 96
語文別： 中文
論文頁數： 47
中文關鍵詞： 半自動標記系統 、語意搜尋 、網路知識本體語言(OWL)
外文關鍵詞： semantic search, semi-automatic annotation system, web ontology language (OWL)
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    • 目前Google、Yahoo使用key word搜尋，常找到大量不合用資訊。解決之道是:對textual web data全文標記語意，使用語意搜尋。但，純手動annotation太耗時；而且，如annotation的abstraction level過低，則高abstraction的隱喻搜尋不到。本文提出semi-automatic annotation system，即Automatic Annotator及Manual Annotator，先用Protégé定義好web ontology language (OWL) terms，前者用Knuth-Morris-Pratt (KMP) 演算法全文比對terms來annotate；後者讓使用者用這些terms來annotate高abstraction的隱喻。Annotate後產生的semantically-enhanced textual web document可由其他網路服務來做semantic處理，如範例中的 information retrieval system與recommendation system。

    Current keyword search by Google, Yahoo, and so on gives enormous unsuitable results. A solution to this perhaps is to annotate semantics to textual web data to enable semantic search, rather than keyword search. However, pure manual annotation is very time-consuming. Further, searching high level concept such as metaphor cannot be done if the annotation is done at a low abstraction level. We present a semi-automatic annotation system, i.e. automatic annotator and a manual annotator. Against the web ontology language (OWL) terms defined by Protégé, the former annotates the textual web data using the Knuth-Morris-Pratt (KMP) algorithm, while the latter allows a user to use the terms to annotate metaphors with high abstraction. The resulting semantically-enhanced textual web document can be semantically processed by other web services such as the information retrieval system and the recommendation system shown in our example.

    中 文 摘 要.....................................i 英 文 摘 要.....................................ii 誌 謝...........................................iii 目 錄...........................................iv 圖 目 錄........................................v 一、Introduction................................1 二、Related Work................................2 三、An OWL-Based Annotation System..............4 3-1 Architecture........................4 3-2 Implementation......................6 四、 An Example...........................7 五、 Conclusions..........................10 References......................................11 附 錄 一 .......................................12 附 錄 二 .......................................17 附 錄 三 .......................................20 附 錄 四 .......................................22

    [1] Stanford University. [Online]. Available: http://protege.stanford.edu/
    [2] World Wide Web Consortium. OWL Web Ontology Language Overview.
    [Online]. Available: http://www.w3.org/TR/owl-features/
    [3] Wikipedia. Information Retrieval. [Online]. Available: http://tinyurl.com/3w5qs2
    [4] Wikipedia. KMP Algorithm. [Online]. Available: http://tinyurl.com/34wneo
    [5] Samhaa R, Maryam H., and Ahmed R.. Ontology Based Annotation of Text
    Segments. March 2007 SAC ''07: Proceedings of the 2007 ACM symposium on
    Applied computing.
    [6] Blythe J. and Gil Y. Incremental Formalization of Document Annotations through
    Ontology-Based Paraphrasing. In Proceedings of the 13th International World
    Wide Web Conference ( New York, New York, May 2004), pp. 455-461.
    [7] National Digital Archives Program, Taiwan. [Online]. Available: http://tinyurl.com/3ocjjj, http://cls.hs.yzu.edu.tw/tang/Database/index.html
    [8] Reeve L. and Han H. Survey of Semantic Annotation Platforms, In Proceedings of SAC’05 (Santa Fe, New Mexico, USA, March 2005).
    [9] Sesame repository. [Online]. Available: http://www.openrdf.org/
    [10] OWLIM Semantic Repository. [Online]. Available: http://ontotext.com/owlim/

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