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題名 在網路論壇作資訊的語意擷取
Information Semantic Extraction in the Web Forum
作者 雷嘉慶
Loi, Ka Heng
貢獻者 胡毓忠
雷嘉慶
Loi, Ka Heng
關鍵詞 語意網
論壇
日期 2008
上傳時間 9-May-2016 12:02:19 (UTC+8)
摘要 本研究以Web2.0的論壇界面不變為前題之下，增加語意網技術以達到資訊擷取及運用。利用RDFS作為資訊集成的藍圖，把需要收集的資訊以RDFS來表示，再透過我們的方法，轉換成一般使用者熟悉的輸入介面；我們並透過一個漸進式的方法，增加輸入界面新增資料時的提示內容。透過具語意化的描述資料，設計一個新的QBE的方法，並整合現有的QBE系統，定義出泛用論壇系統模型。
We use information semantic extraction in the web forum which is fixed UI for web2.0. We define a method to generate the web UI by the information definition schema(RDFS) and define an algorithm to increase the info in the input form tooltip. Finally, we induce several query templates for web UI (QBE). Totally, we define a generic web semantic forum.
第一章 概論………………………………………………………..12
     1.1 研究背景…………………………………………………….12
     1.2 Web2.0/3.0…………………………………………………13
     1.3 語意網系統概覽……………………………………………14
     1.4 語意網系統主要特徵……………………………………14
     第二章 相關研究…………………………………………………….17
     2.1 研究概論…………………………………………………17
     2.2 相關研究比較……………………………………………18
     第三章 研究架構………………………………………………………23
     3.1 論壇的特性……………………………………………….23
     3.2 研究例子………………………………………………25
     3.3 輸入元件的產生方法……………………………………28
     3.4 漸進式建立提示內容……………………………………28
     3.5 搜尋方法…………………………………………………31
     第四章 研究方法………………………………………………………34
     第五章 成果…………………………………………………………38
     第六章 結論及展望……………………………………………………41
     Reference………………………………………………………43
參考文獻 1. Adler B. T. and Luca de Alfaro, “A Content-Driven Reputation System for the Wikipedia”, WWW 2007.
     2. Angeletou S., M. Sabou and L. Specia,etc…, “Bridging the Gap Between Folksonomies and the Semantic Web: An Experience Report”, European Semantic Web Conference 2007.
     3. Barbosa L., J. Freire, “Comibing Classifiers to Identify Online Databases”, WWW2007.
     4. Chirita P. A., S. Costache and S. Handschuh, etc…, “P-TAG: Large Scale Automatic Generation of Personalized Annotation TAGs for the Web”, WWW 2007.
     5. Ciaramita M., M. Johnson, “Supersense Tagging of Unknown Nouns in Wordnet”, Empirical Methods on Natural Language Processing 2003.
     6. Cilibrasi R. L., P. M.B. Vitanyi, “The Google Similarity Distance”, IEEE Transactions on Knowledge and Data Enginerring 2007 v.19 n.3 p.370-383.
     7. Costello F. J., T. Veale, “Using Wordnet to Automatically Deduce Relations between Words in Noun-Noun Compounds”, COLING/ACL 2006.
     8. Fisher D., B. Hogan and AJ Brush,etc…, “Using Social Sorting to Enhance Email Managemenet”, the Human-Computer Interaction Consortium. 2006.
     9. Golbeck J., J. Hendler, “Reputation Network Analysis for Email Filtering”, Conference on Email and Anti-spam 2004.
     10. Halpin H., V. Robu and H. Shepherd, “The Complex Dynamics of Collaborative Tagging”, WWW 2007.
     11. Fernandez L. L., G. Robles and J. M. G. Barahona, “Applying Social network Analysis to the Information in CVS Repositories”, International Workshop on Mining Software Repositories 2004.
     12. Quintarelli E., L. Rosati and A. Resmini, “Facetag: Integrating Bottom-up and Top-down Classification in a Social Tagging System”, SemAnnot 2003.
     13. Völkel M., M. Krötzsch and D. Vrandecic,etc…, “Semantic Wikipedia”, WWW 2006.
     14. Wang D, Darina D., Christo D., Jerry A., “Retrieving Information in Topic Maps: the Case of TM4L”, 45th annual southeast regional conference.
     15. Xu Y., B. Zhang and Z. Chen, etc…, “Privacy-Enhancing Personalized Web Search”, WWW 2007.
     16. Yang D., D. M.W. Powers, “Measuring Semantic Similarity in the Taxonomy of Wordnet”, ACM International Conference Procedding Series; v.102, p315~322.
     17. Zhang X., G. Cheng and Y. Qu, “Ontology Summarization Based on RDF Sentence Graph”, WWW 2007.
     18. Google Base
     http://base.google.com
     19. SCOT (Social Semantic Cloud of Tags)
     http://scot-project.org/
描述 碩士
國立政治大學
資訊科學學系
94753004
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0094753004
資料類型 thesis
dc.contributor.advisor 胡毓忠zh_TW
dc.contributor.author (Authors) 雷嘉慶zh_TW
dc.contributor.author (Authors) Loi, Ka Hengen_US
dc.creator (作者) 雷嘉慶zh_TW
dc.creator (作者) Loi, Ka Hengen_US
dc.date (日期) 2008en_US
dc.date.accessioned 9-May-2016 12:02:19 (UTC+8)-
dc.date.available 9-May-2016 12:02:19 (UTC+8)-
dc.date.issued (上傳時間) 9-May-2016 12:02:19 (UTC+8)-
dc.identifier (Other Identifiers) G0094753004en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/94854-
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) 94753004zh_TW
dc.description.abstract (摘要) 本研究以Web2.0的論壇界面不變為前題之下，增加語意網技術以達到資訊擷取及運用。利用RDFS作為資訊集成的藍圖，把需要收集的資訊以RDFS來表示，再透過我們的方法，轉換成一般使用者熟悉的輸入介面；我們並透過一個漸進式的方法，增加輸入界面新增資料時的提示內容。透過具語意化的描述資料，設計一個新的QBE的方法，並整合現有的QBE系統，定義出泛用論壇系統模型。zh_TW
dc.description.abstract (摘要) We use information semantic extraction in the web forum which is fixed UI for web2.0. We define a method to generate the web UI by the information definition schema(RDFS) and define an algorithm to increase the info in the input form tooltip. Finally, we induce several query templates for web UI (QBE). Totally, we define a generic web semantic forum.en_US
dc.description.abstract (摘要) 第一章 概論………………………………………………………..12
     1.1 研究背景…………………………………………………….12
     1.2 Web2.0/3.0…………………………………………………13
     1.3 語意網系統概覽……………………………………………14
     1.4 語意網系統主要特徵……………………………………14
     第二章 相關研究…………………………………………………….17
     2.1 研究概論…………………………………………………17
     2.2 相關研究比較……………………………………………18
     第三章 研究架構………………………………………………………23
     3.1 論壇的特性……………………………………………….23
     3.2 研究例子………………………………………………25
     3.3 輸入元件的產生方法……………………………………28
     3.4 漸進式建立提示內容……………………………………28
     3.5 搜尋方法…………………………………………………31
     第四章 研究方法………………………………………………………34
     第五章 成果…………………………………………………………38
     第六章 結論及展望……………………………………………………41
     Reference………………………………………………………43		-
dc.description.tableofcontents 第一章 概論………………………………………………………..12
     1.1 研究背景…………………………………………………….12
     1.2 Web2.0/3.0…………………………………………………13
     1.3 語意網系統概覽……………………………………………14
     1.4 語意網系統主要特徵……………………………………14
     第二章 相關研究…………………………………………………….17
     2.1 研究概論…………………………………………………17
     2.2 相關研究比較……………………………………………18
     第三章 研究架構………………………………………………………23
     3.1 論壇的特性……………………………………………….23
     3.2 研究例子………………………………………………25
     3.3 輸入元件的產生方法……………………………………28
     3.4 漸進式建立提示內容……………………………………28
     3.5 搜尋方法…………………………………………………31
     第四章 研究方法………………………………………………………34
     第五章 成果…………………………………………………………38
     第六章 結論及展望……………………………………………………41
     Reference………………………………………………………43		zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0094753004en_US
dc.subject (關鍵詞) 語意網zh_TW
dc.subject (關鍵詞) 論壇zh_TW
dc.title (題名) 在網路論壇作資訊的語意擷取zh_TW
dc.title (題名) Information Semantic Extraction in the Web Forumen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 1. Adler B. T. and Luca de Alfaro, “A Content-Driven Reputation System for the Wikipedia”, WWW 2007.
     2. Angeletou S., M. Sabou and L. Specia,etc…, “Bridging the Gap Between Folksonomies and the Semantic Web: An Experience Report”, European Semantic Web Conference 2007.
     3. Barbosa L., J. Freire, “Comibing Classifiers to Identify Online Databases”, WWW2007.
     4. Chirita P. A., S. Costache and S. Handschuh, etc…, “P-TAG: Large Scale Automatic Generation of Personalized Annotation TAGs for the Web”, WWW 2007.
     5. Ciaramita M., M. Johnson, “Supersense Tagging of Unknown Nouns in Wordnet”, Empirical Methods on Natural Language Processing 2003.
     6. Cilibrasi R. L., P. M.B. Vitanyi, “The Google Similarity Distance”, IEEE Transactions on Knowledge and Data Enginerring 2007 v.19 n.3 p.370-383.
     7. Costello F. J., T. Veale, “Using Wordnet to Automatically Deduce Relations between Words in Noun-Noun Compounds”, COLING/ACL 2006.
     8. Fisher D., B. Hogan and AJ Brush,etc…, “Using Social Sorting to Enhance Email Managemenet”, the Human-Computer Interaction Consortium. 2006.
     9. Golbeck J., J. Hendler, “Reputation Network Analysis for Email Filtering”, Conference on Email and Anti-spam 2004.
     10. Halpin H., V. Robu and H. Shepherd, “The Complex Dynamics of Collaborative Tagging”, WWW 2007.
     11. Fernandez L. L., G. Robles and J. M. G. Barahona, “Applying Social network Analysis to the Information in CVS Repositories”, International Workshop on Mining Software Repositories 2004.
     12. Quintarelli E., L. Rosati and A. Resmini, “Facetag: Integrating Bottom-up and Top-down Classification in a Social Tagging System”, SemAnnot 2003.
     13. Völkel M., M. Krötzsch and D. Vrandecic,etc…, “Semantic Wikipedia”, WWW 2006.
     14. Wang D, Darina D., Christo D., Jerry A., “Retrieving Information in Topic Maps: the Case of TM4L”, 45th annual southeast regional conference.
     15. Xu Y., B. Zhang and Z. Chen, etc…, “Privacy-Enhancing Personalized Web Search”, WWW 2007.
     16. Yang D., D. M.W. Powers, “Measuring Semantic Similarity in the Taxonomy of Wordnet”, ACM International Conference Procedding Series; v.102, p315~322.
     17. Zhang X., G. Cheng and Y. Qu, “Ontology Summarization Based on RDF Sentence Graph”, WWW 2007.
     18. Google Base
     http://base.google.com
     19. SCOT (Social Semantic Cloud of Tags)
     http://scot-project.org/		zh_TW