dc.contributor.advisor | 胡毓忠 | zh_TW |
dc.contributor.advisor | Hu, Yuh Jong, | en_US |
dc.contributor.author (Authors) | 宋昆銘 | zh_TW |
dc.creator (作者) | 宋昆銘 | zh_TW |
dc.date (日期) | 2007 | en_US |
dc.date.accessioned | 17-Sep-2009 14:03:14 (UTC+8) | - |
dc.date.available | 17-Sep-2009 14:03:14 (UTC+8) | - |
dc.date.issued (上傳時間) | 17-Sep-2009 14:03:14 (UTC+8) | - |
dc.identifier (Other Identifiers) | G0094753024 | en_US |
dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/32683 | - |
dc.description (描述) | 碩士 | zh_TW |
dc.description (描述) | 國立政治大學 | zh_TW |
dc.description (描述) | 資訊科學學系 | zh_TW |
dc.description (描述) | 94753024 | zh_TW |
dc.description (描述) | 96 | zh_TW |
dc.description.abstract (摘要) | 我們從自然語言領域中借用Thesaurus模型作為字彙關聯的基礎,陸續加入Folksonomy概念、Social Network Service指標的蒐集以及domain-specific ontology來建構Tag-Thesaurus模型,用來解決使用一般tagging system資源彙整能力不足的問題。首先我們對將要實驗的領域選取初始字彙,並利用這些字彙建構Tag-Thesaurus模型。接著將預先準備的這些字彙釋放到社會網路服務平台的tagging system中,透過社會網路服務平台中的tagging system來蒐集使用者對於資源的平面分類資訊,利用這些資訊來對Tag-Thesaurus模型持續地擴充。透過這樣的Tag-Thesaurus模型,我們將可以獲得較佳的資源彙整。domain-specific ontology的加入將可以強化由上而下的資源彙整。而Social Network Service當中的其他資訊,如FOAF[16]或是個人的偏好等,將可以提昇個人化資源彙整的能力。這樣的結合方式不僅是ontology應用的示範,我們更希望透過這樣的混合式模型,使得Web 2.0這樣子廣泛蒐集眾人智慧的概念能夠成為跨入語意網的橋樑。 | zh_TW |
dc.description.abstract (摘要) | We aggregate various resources through the Tag-Thesaurus Model. There are three parts in Tag-Thesaurus model, the Folksonomy formal model, indices collection on Social Network Service, and lightweight domain-specific ontology. The Folksnomy model reconstruct relationships between tags, and we can aggregate resources by tags. The indices collection on Social Network Service help us to decide which resource are more important. Finally, the lightweight domain-specific ontology provide the standard interface to describe the relationships between tags. | en_US |
dc.description.tableofcontents | 第1章 研究介紹 9第1.1節 研究背景 9第1.2節 研究目的 10第1.3節 研究議題 10第1.4節 各章節簡述 11第2章 相關文獻回顧 12第2.1節 標籤系統(Tagging System) 12第2.2節 社會網路服務 15第2.3節 源料的發佈與彙整 16第2.3節 階層式分類、平面式分類與混用式分類 18第3章 研究的方法 21第3.1節 預先準備的Tag-Thesaurus模型的雛型 21第3.2節 平面式分類的正規模型 22第3.3節 將社會網路元素加入Tag-Thesaurus模型 28第3.4節 FOAF與特定領域本體論 32第3.5節 透過Tag-Thesaurus模型達成資源彙整 36第4章 研究架構 41第5章 實驗平台與相關開發工具 44第6章 結論與未來可改進的部分 58 | zh_TW |
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dc.format.mimetype | application/pdf | - |
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dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/pdf | - |
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dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en_US | - |
dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0094753024 | en_US |
dc.subject (關鍵詞) | 標籤系統 | zh_TW |
dc.subject (關鍵詞) | 社會網路服務 | zh_TW |
dc.subject (關鍵詞) | 語意網 | zh_TW |
dc.subject (關鍵詞) | 資源彙整 | zh_TW |
dc.subject (關鍵詞) | tagging systems | en_US |
dc.subject (關鍵詞) | social network service | en_US |
dc.subject (關鍵詞) | semantic web | en_US |
dc.subject (關鍵詞) | resource aggregation | en_US |
dc.title (題名) | 在社會網路上透過Tag-Thesaurus模型達到有效的資源彙整 | zh_TW |
dc.title (題名) | Resource Aggregation via Tag-Thesaurus model on Social Web | en_US |
dc.type (資料類型) | thesis | en |
dc.relation.reference (參考文獻) | 【1】 Andreas Hotho, Robert J̈aschke, Christoph Schmitz, Gerd Stumme.“Information Retrieval in Folksonomies: Search and Ranking.” The Semantic Web: Research and Applications. | zh_TW |
dc.relation.reference (參考文獻) | 【2】 Alexandre Passant, Jean-David Sta, Philippe Laublet.“Folksonomies, Ontologies and Corporate Blogging.”http:// apassant.net/blog/tag/blogtalkreloaded. | zh_TW |
dc.relation.reference (參考文獻) | 【3】 Andreas Hotho, Robert J¨aschke, Christoph Schmitz,“FolkRank: A Ranking Algorithm for Folksonomies” Proc. FGIR 2006. | zh_TW |
dc.relation.reference (參考文獻) | 【4】 Hongwei Zhu, Michael D. Siegel, Stuart E. Madnick, Pablo Castells.“Information Aggregation – A Value-added E-Service.” Proceedings of the International Conference on Technology, Policy, and Innovation: Critical Infrastructures, The Netherlands, June 26-29, 2001. | zh_TW |
dc.relation.reference (參考文獻) | 【5】 Peter Mika.“Flink: Semantic Web Technology for the Extraction and Analysis of Social Networks.” Journal of Web Semantics(2005). | zh_TW |
dc.relation.reference (參考文獻) | 【6】 Scott A. Golder and Bernardo A. Huberman.“The Structure of Collaborative Tagging Systems.” Arxiv preprint cs.DL/0508082, 2005. | zh_TW |
dc.relation.reference (參考文獻) | 【7】 Thomas Gruber.“Ontology of Folksonomy: A Mash-up of Apples and Oranges.” Invited paper/keynote to the First on-Line conference on Metadata and Semantics Research (MTSR`05). | zh_TW |
dc.relation.reference (參考文獻) | 【8】 Clay Shirky, "Ontology is Overrated: Categories, Links, and Tags", http://www.shirky.com/writings/ontology_overrated.html | zh_TW |
dc.relation.reference (參考文獻) | 【9】 Jakob Voss, "Tagging, Folksonomy & Co-Renaissance of Manual Indexing?", Systems of Knowledge Organization for Digital Libraries:Beyond Traditional Authority files. CLIR Publications, 2000. | zh_TW |
dc.relation.reference (參考文獻) | 【10】 Cameron Marlow, "Position Paper, Tagging, Taxonomy, Flickr, Article, ToRead", Hypertext 2006. | zh_TW |
dc.relation.reference (參考文獻) | 【11】 Scott A. Golder, "Usage patterns of collaborative tagging systems", Journal of Information Science. | zh_TW |
dc.relation.reference (參考文獻) | 【12】 Paul Heymann, "Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems", Berlin EuroIA Summit 2006. | zh_TW |
dc.relation.reference (參考文獻) | 【13】 Emanuele Quintarelli, "Facetag: Integrating Bottom-up and Top-down Classification in a Social Tagging System", ASIS&T Information Architecture Summit 2007. | zh_TW |
dc.relation.reference (參考文獻) | 【14】 Jakob Voss, "Collaborative thesaurus tagging the Wikipedia way", http://arxiv.org/abs/cs.IR/0604036 | zh_TW |
dc.relation.reference (參考文獻) | 【15】 RSS 1.0 Specification, http://web.resource.org/rss/1.0/spec | zh_TW |
dc.relation.reference (參考文獻) | 【16】 FOAF Vocabulary Specification, http://xmlns.com/foaf/0.1/ | zh_TW |
dc.relation.reference (參考文獻) | 【17】 Resource Description Framework (RDF), http://www.w3.org/RDF/ | zh_TW |
dc.relation.reference (參考文獻) | 【18】 RDF Schema, http://www.w3.org/TR/rdf-schema/ | zh_TW |
dc.relation.reference (參考文獻) | 【19】 OWL Web Ontology Language, http://www.w3.org/TR/owl-features/ | zh_TW |
dc.relation.reference (參考文獻) | 【20】 Ruby on Rails, http://www.rubyonrails.org/ | zh_TW |
dc.relation.reference (參考文獻) | 【21】 IMDb, http://www.imdb.com/ | zh_TW |
dc.relation.reference (參考文獻) | 【22】 Jena, http://jena.sourceforge.net/ | zh_TW |