政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/32646

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/32646

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题名:	建構以語意社會網路為主的部落格入口網站 Building Semantic Social Network-Based Blog Portal
作者:	余承遠 Yu,Cheng-Yuan
贡献者:	胡毓忠 Hu,Yuh-Jong 余承遠 Yu,Cheng-Yuan
关键词:	語意網社會網路分析本體論入口網站部落格 Semantic Web Social Network Analysis Ontology Portal Blog Web 2.0
日期:	2006
上传时间:	2009-09-17 13:55:40 (UTC+8)
摘要:	Web 2.0的提出，主要的概念是以Web為平台，以「個人」為中心，透過群體智慧的方式來共享與產生知識，例如維基百科、部落格等。部落格提供了個人自由創作與發表文章空間，主要以RSS、Trackback為共有標準，服務提供者可另外加上自訂功能。然而部落格每天所產生的文章量相當龐大，我們是否有辦法在這些文章中，找出符合使用者想看的文章。本研究期望建構一個部落格入口網站，分析目前部落格使用的特徵，比較與目前Web環境差異；引入語意網技術，針對Metadata處理資訊，設計本體論(Ontology)來描述人、文章與標籤之間的關係並建立簡單分類；導入大眾既有經驗與人脈網路建立，觀察社會網路所能提供的貢獻；實作上將透過特徵分析來設計Crawler，自動抓取並解析文章，並建置入口網站，進行資料的分析與驗證，探討加入語意網與社會網路分析的結合所能帶來的效益。 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
參考文獻:	[1] Andreas Harth, Jurgen Umbrich, and Stefan Decker, MultiCrawler: A Pipelined Architecture for Crawling and Indexing Semantic Web Data. The fifth International Semantic Web Conference, Athens, GA, USA, November 5-9, 2006. [2] Arvid Arasu, Junghoo Cho, Hector Garcia-Molina, et al., Searching the Web. ACM Transactions on Internet Technology, Vol. 1, No. 1, August 2001, Pages 2–43. [3] Atanas Kiryakov, Borislav Popov, Ivan Terziev,et al., Semantic annotation, indexing, and retrieval. Web Semantics: Science, Services and Agents on the World Wide Web 2 (2004) 49–79. [4] Blo.gs, http://blo.gs/ [5] BlogPulse, http://www.blogpulse.com/index.html [6] Christopher H. Brooks and Vancy Montanez, Improve Annotation of the Blogosphere via Autotagging and Hierarchical Clustering. WWW 2006, May 23-26, 2006, Edinburgh, Scotland. [7] D. Gruhl, R. Guha, David Liben-Nowell and A. Tomkins, Information Diffusion Through Blogspace. WWW 2004, May 17–22, 2004, New York, USA. [8] David R. Karger and Dennis Quan, 2004, What Would It Mean to Blog on the Semantic Web?. The Third International Semantic Web Conference(ISWC 2004), Springer-Verlag Berlin Heidelberg 2004. [9] Feedster, http://www.feedster.com/ [10] Friend of a Friend (FOAF) Vocabulary: http://xmlns.com/foaf/0.1/ [11] Google Blog Search (BETA), http://blogsearch.google.com/ [12] Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd, 1999. The PageRank citation ranking: Bringing order to the Web. Tech. Rep. Computer Systems Laboratory, Stanford University, Stanford, CA. [13] Li Ding, Lina Zhou, Tim Finin, and Anupam Joshi, How the Semantic Web is Being Used: An Analysis of FOAF Documents. Proceedings of the 38th Hawaii International Conference on System Sciences 2005. [14] OWL Web Ontology Language, http://www.w3.org/TR/owl-features/ [15] Peter Mika, Flink: SemanticWeb Technology for the Extraction and Analysis of Social Networks. Journal of Web Semantics, 3(2), 2005. [16] R. Kosala and H. Blockeel, Web mining research: A survey. SIGKDD Esplorations, Volume 2, Issue 1, July 2000, Pages 1–15. [17] Ravi Kumar, Jasmine Novak, Prabhakar Raghavan, and Andrew Tomkin, Structure and evolution of blogspace. COMMUNICATIONS OF THE ACM December 2004/Vol. 47, No. 12 [18] RDF Vocabulary Description Language 1.0: RDF Schema, http://www.w3.org/TR/rdf-schema/ [19] Ronald S. Burt, Structural Holes : The Social Structure of Competition. Cambridge, Mass.: Harvard University Press, 1992 [20] RSS 1.0 Specification, http://web.resource.org/rss/1.0/spec [21] RSS 2.0 Specification, http://www.rssboard.org/rss-specification [22] Scott, J., Social Network Analysis: A Handbook, Sage Publications, London (2000). [23] Stephen Dill, Nadav Eiron, David Gibson, et al., A case for automated large-scale semantic annotation. Web Semantics: Science, Services and Agents on the World Wide Web 1 (2003) 115–132. [24] Steve Cayzer, Semantic Blogging and Decentralized Knowledge Management. COMMUNICATIONS OF THE ACM, December 2004/Vol. 47, No. 12. [25] Susan C. Herring, Inna Kouper, et al., Conversations in the Blogosphere: An Analysis “From the Bottom Up”, The Thirty-Eighth Hawaii’s International Conference on System Sciences (HICSS-38). [26] Tim Berners-Lee, et al., The Semantic Web. Scientific American, May 2001. [27] Tim Berners-Lee new layer cake, http://www.w3.org/2005/Talks/0511-keynote-tbl/ [28] Technorati, http://www.technorati.com/ [29] Victoria Uren, Philipp Cimiano, Jose Iria, et al., Semantic annotation for knowledge management: Requirements and a survey of the state of the art. Web Semantics: Science, Services and Agents on the World Wide Web 4 (2006) 14–28 [30] What is Web 2.0, http://www.oreillynet.com/pub/a/oreilly/tim/news/ 2005/09/30/what-is-web-20.html [31] Wouter de Nooy, Andrej Mrvar, and Vladimir Batageli, Exploratory Social Network Analysis with Pajek, American (2005).
描述:	碩士國立政治大學資訊科學學系 93753002 95
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0093753002
数据类型:	thesis
显示于类别:	[資訊科學系] 學位論文

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