Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/19323
標題: 以個人資料本體作為個人基本資料之應用服務
Application Services Based on Personal Data Ontology
作者: 陳育辰
Chen, Yu-Chen
關鍵字: Personal Data Ontology
個人資料本體
OWL
SWRL
Query and Match
本體描述語言
查詢及配對
出版社: 資訊科學系所
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摘要: 為解決現今個人資料應用在查詢及配對服務的缺點,如資料交換及儲存格式上的不一致,資料的可靠性不佳,資料查詢配對資訊的效率低落,及資料維護的工作繁雜。我們採用本體描述語言(OWL)作為資料描述的統一格式,並且為不同的應用服務建立個人資料本體的管理系統。以本體描述語言(OWL)描述個人資料的本體,方便資料交換與整合,有效的使資源分享再利用,並且將個人資料從單純的文字表達提升為具有語意推理的描述,對於資訊擷取的準確性,相對於一般關鍵字的資料查詢,能夠大為提高。 個人資料本體之管理系統(Personal Data Ontology Management System)由查詢及配對子系統(Query and Match Subsystem)、個人資料本體管理者(Personal Data Ontology Manager)及個人資料本體資料庫(Personal Data Ontology Repository)所組成。查詢及配對子系統經由內部元件及個人資料本體管理者,向使用者及個人資料本體資料庫獲取網路應用服務所需資訊,並將服務規則以Semantic Web Rule Language(SWRL)的方式制定,配合推論引擎的推論處理來得出最後結果。在此架構運行過程中,如需對個人資料進行操作,如增刪、修改、更新及擷取等,則必需透過個人資料本體管理者得以執行。除了在架構與流程上作描述之外,本研究將以人找事.事找人的例子來說明可行性。
In order to overcome the shortcomings of current personal data applications in querying and matching, we adopt Web Ontology Language (OWL) for a uniform data representation and construct a Personal Data Ontology Management System (PDOMS) for various web applications. The uniform description can not only provide the efficiency for data exchange, but also provide the flexibility for data management. Both the data sharing and accurate information extraction can be easily achieved by using the Personal Data Ontology. The Personal Data Ontology Management System (PDOMS) consists of Query and Match Subsystem (QMS), Personal Data Ontology Manager (PDOM), and Personal Data Ontology Repository (PDOR). All applications interface with the query and match subsystem for necessary information. Through the inference processing as rules written in Semantic Web Rule Language (SWRL), the query and match subsystem in turn connects to the personal data ontology manager (PDOM) for data retrieval. All kinds of data operations, such as insert, delete, update, and fetch, are performed by the personal data ontology manager (PDOM). In addition to the fully description of the system and workflow, a specific application for job-looking match is also presented to demonstrate the feasibility of the system.
URI: http://hdl.handle.net/11455/19323
其他識別: U0005-0407200614082700
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-0407200614082700
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