| Summary: | 碩士 === 國立政治大學 === 資訊科學學系 === 95 === The Web 2.0 is based on the main concept "individuals" as the center, through the collaborative wisdom to share and to generate knowledge on the Web, such as the Wikipedia, Blog, etc. Blog provides a space for the free creativity and posting articles from individuals. Based on RSS and Trackback service providers can set an additional function. However, the daily amount of articles issued from the Blog is enormous. How can we provide methods for users to find their interesting articles? This study hopes to build the Blog portal and analysis of the current Blog features compared with the web environment. We use semantic web technology and focus on metadata processing. The ontology describes the relationship among persons, articles, tags and a simple categorization. Folks experience and relationship are established and observed with the benefits from social network analysis. In this study, we implement a crawler, and automatically grab and analysis articles. With constructing the portal, we extract information and discuss the benefits of using combination semantic web and social network analysis
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