Implementation of Metadata Management Systems Using ZK Framework

碩士 === 淡江大學 === 資訊工程學系碩士在職專班 === 100 === Metadata, also known as meta-data, is the data that describes data. It mainly describes the information of data attributes, such as storage location, retrieving historical information, finding resources, recording files, etc. This study refers Kuo’s Master Th...

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Bibliographic Details
Main Authors: Min-Chieh Sun, 孫敏傑
Other Authors: Wen-Bing Horng
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/31900404763548182070
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Summary:碩士 === 淡江大學 === 資訊工程學系碩士在職專班 === 100 === Metadata, also known as meta-data, is the data that describes data. It mainly describes the information of data attributes, such as storage location, retrieving historical information, finding resources, recording files, etc. This study refers Kuo’s Master Thesis “Generator for Metadata Management Systems.” We use Web 2.0 technology as well as ZK Framework which speeds up development of Ajax frameworks, to re-develop a set of meta-information system. Our system differs from Kuo’s system in that ours is not restricted to the archival repositories. It not only continues the struts technology used by Kuo’s system, but also proceeds to humanize the interface and analyze the database. In addition, it employs the most popular Java web technology, the “spring + hibernate + struts” technology, to increase both degree of modularity and reusability in program development. Comparing with Kuo’s system, our system is simpler and the conversion process from data to objects is faster and more efficient. Refering to the recent electronic medical record system architecture, the database structure of our system architecture is re-designed and the system integrating process is simplified. With the supports of several common template technologies from Java web technology to metadata, various data categories, and switch available templates for browser screen, this system architecture will be able to complete the recording of various data categories.