碩士 / 國立臺北大學 / 資訊工程學系 / 98 / Data extraction and information retrieval from a great volume of data set always is a tedious and difficult work. Therefore, an effective and efficient technology for searching for desired data becomes increasingly important. Since metadata with certain attributes may characterize data files, to extract data with the help of metadata can be expectably to simplify the work. Metadata Classification has been proposed to improve significantly the performance of scientific data extraction. In this paper, a scientific data extraction architecture based on the assistance of metadata classification mechanism is proposed. In addition, the proposed system based on ontology has more flexible query string with natural language and provides transparency through rule inference. Therefore, users are more satisfied with the information retrieval results.
The architecture is built by utilizing mediator/wrapper architecture to develop a scientific data extracting system to help oceanographer analyzing ocean’s ecology. The result of performance evaluation shows that one is about the architecture with the help of metadata classification can extract user’s desired data effectively and efficiently, and the other is concerned about correctness of information retrieval.
| Identifer | oai:union.ndltd.org:TW/098NTPU0392002 |
| Date | January 2010 |
| Creators | Hsiang-Tai Cheng, 鄭翔太 |
| Contributors | Yue-Shan Chang, 張玉山 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | en_US |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 64 |
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