| Summary: | 碩士 === 國立中央大學 === 網路學習科技研究所 === 93 === Users usually may not find desired content via existing Content Management
Systems. The main reason caused this problem is the lacking of enough semantic
description for digital content during the analyzing, reasoning, or computing process.
In this thesis, we proposed the Content Model to provide the semantic description
of digital content. A computer-aided description mechanism is developed to assist user
establishing content model to reduce the needed cost and laboring. To improved the
performance of information retrieval, we proposed ontology-based classification
mechanism combined with Latent Semantic Index method to enhance the semantic
relation of Content Model, which represented digital content.
To demonstrate the proposed semantic description, we implement the content
model via ICU Content Management System. The experiments results indicate the
proposed Content Model can improve the retrieval performance. The computer-aid
description mechanism can extract great part of meaningful information and does
reduce the required cost of Content Model establishments. Besides, in Content
Management System, the personalized annotation can be combined with described
digital content to achieve knowledge reuse and share.
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