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https://nccur.lib.nccu.edu.tw/handle/140.119/94854
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| Title: | 在網路論壇作資訊的語意擷取
Information Semantic Extraction in the Web Forum |
| Authors: | 雷嘉慶
Loi, Ka Heng |
| Contributors: | 胡毓忠
雷嘉慶
Loi, Ka Heng |
| Keywords: | 語意網
論壇 |
| Date: | 2008 |
| Issue Date: | 2016-05-09 12:02:19 (UTC+8) |
| Abstract: | 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 |
| Reference: | 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/ |
| Description: | 碩士
國立政治大學
資訊科學學系
94753004 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0094753004 |
| Data Type: | thesis |
| Appears in Collections: | [資訊科學系] 學位論文
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