博碩士論文 955205005 完整後設資料紀錄

DC 欄位 語言
DC.contributor軟體工程研究所zh_TW
DC.creator簡至良zh_TW
DC.creatorZhi-Liang Chienen_US
dc.date.accessioned2008-6-23T07:39:07Z
dc.date.available2008-6-23T07:39:07Z
dc.date.issued2008
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=955205005
dc.contributor.department軟體工程研究所zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract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。zh_TW
dc.description.abstractCurrent 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.en_US
DC.subject半自動標記系統zh_TW
DC.subject語意搜尋zh_TW
DC.subject網路知識本體語言(OWL)zh_TW
DC.subjectsemantic searchen_US
DC.subjectsemi-automatic annotation systemen_US
DC.subjectweb ontology language (OWL)en_US
DC.title半自動標記系統來提升OWL為基的語意搜尋zh_TW
dc.language.isozh-TWzh-TW
DC.titleSemi-automatic Annotation System to Enhance OWL-based Semantic Searchen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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