Application Services Based on Personal Data Ontology

• Main Authors: Yu-Chen Chen, 陳育辰
• Other Authors: 高勝助
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/57121056623818009766

碩士 === 國立中興大學 === 資訊科學系所 === 94 === 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.