| Summary: | 碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 93 === As Internet and World Wide Web are getting more popular, people can obtain information from enormous network resources by simple hypertext links. However, people are likely to encounter disorientation and information overloads besides finding irrelevant information during the web page searches. Fortunately, ontology which is a knowledge-represented mechanism can resolve these undesirable phenomenons. When the knowledge is represented in a declarative formalism, it will facilitate the transmission, sharing and reuse of semantic knowledge through the Web. Hence, ontology can support semantic information navigation and enable intelligent information access for human users, and machines as well.
For reasons mentioned above, the purpose of this paper is to bring up an ontology-based adaptive web browsing mechanism for community-based hazard mitigation. It also utilizes the records and analyses of users’ browsing behavior so as to provide users suggestions to find information they want. In conclusion, this study integrates ontology-based semantic information browsing and analyzes users’ browsing behavior to meet users searching demands and enhance personal adaptive learning.
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