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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/7979


    題名: 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
    作者: 簡至良;Zhi-Liang Chien
    貢獻者: 軟體工程研究所
    關鍵詞: 半自動標記系統;語意搜尋;網路知識本體語言(OWL);semantic search;semi-automatic annotation system;web ontology language (OWL)
    日期: 2008-06-17
    上傳時間: 2009-09-22 11:14:31 (UTC+8)
    出版者: 國立中央大學圖書館
    摘要: 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.
    顯示於類別:[軟體工程研究所 ] 博碩士論文

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