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題名 由全球資訊網探勘學術研究領域的本體論資訊
作者 周大鈞
Chou, Ta-Chun
貢獻者 沈錳坤
Shan, Man-Kwan
周大鈞
Chou, Ta-Chun
關鍵詞 本體論
學術研究
全球資訊網
資料探勘
Ontology
Academic research
WWW
Data mining
日期 2004
上傳時間 17-Sep-2009 14:06:05 (UTC+8)
摘要 對學者而言，其研究主題的本體論資訊，包括有影響力的論文、有影響力的會議、有影響力的期刊和有影響力的研究者等資料，是學術研究的重要資訊。利用研究主題的本體論資訊，就能對該領域有大致的瞭解。因此本研究的目的，就是針對特定研究主題，自動的從WWW中，探勘出此主題的本體論資訊，包含此主題中有影響力的論文、作者、會議和期刊。
我們先從WWW上透過CiteSeer取得與主題相關的學術論文，再透過引用關係去擴充論文集合。由這些論文中利用資訊萃取的技術，找出論文出處和作者。接著分別根據引用關係分析論文、會議、期刊和作者的影響力指標，我們也考慮論文、會議、期刊和作者之間的mutual reinforcing relation，修改Webpage Ranking Algorithms，來幫助計算由論文引用關係所得的影響力指標。
我們實做出系統，提供使用者查詢特定研究主題的本體論資訊，並且找出相關學者、期刊、論文的網站。我們請具有該研究主題專長的學者，評估系統的效果，得出將近60%的準確率。
Ontological information of research topic, that includes influential papers, conferences, journals, and authors, is the important information of academic research for researchers. Ontological information gives an overview of specific research topic for researchers. Our research is to discover the ontological information of specific research topic from WWW. Firstly, we collect papers that related to specific research topic. These papers are collected by querying CiteSeer. The dataset of papers is extended by citation information further. Then, the metadata of these papers is extracted by Information Extraction technique. After analyzing the influence of papers, conferences, journals, and authors individually based on citation analysis, the influence between them will be considered mutually. We modify the Webpage Ranking Algorithms to be adapted in our research for mutual reinforcing relation analysis.
We implemented a system that offers users the ontological information of specific research topic after querying from this system. And discover the website of related authors, conferences, and journals. The results evaluated by experts in specific topic are near sixty percent correct.
參考文獻 About CiteSeer,” http://citeseer.ist.psu.edu/citeseer.html
[2] Benjamins, V. R., Fensel, D., Decker, S. and Sauncion, G. P., “(KA)2: Building Ontologies for the Internet: A Midterm Report,” International Journal of Human-Computer Studies, 51(3), 1999.
[3] Berners-Lee, T., Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor, HarperCollins Publishers, New York, 1999.
[4] Bharat, K., Chang, B. W., Henzinger, M. and Ruhl, M., “Who Links to Whom: Mining Linkage between Web Sites,” Proc. of the First IEEE International Conference on Data Mining, 2001.
[5] “Bit::Vector - Efficient Bit Vector, Set of Integers and Big Int Math Library,” http://www.engelschall.com/~sb/download/Bit-Vector/c
[6] Bollacker, K. D., Lawrence, S. and Giles C. L., “CiteSeer: An Autonomous Web Agent for Automatic Retrieval and Identification of Interesting Publications,” Proc. of the Second International conference on Autonomous Agents, 1998.
[7] Bollacker, K. D., Lawrence, S. and Giles, C. L., “A System For Automatic Personalized Tracking of Scientific Literature on the Web,” Proc. of the fourth ACM Conference on Digital Libraries, 1999.
[8] Bollacker, K. D., Lawrence, S. and Giles, C. L., “Discovering Relevant Scientific Literature on The Web,” IEEE Intelligent Systems, 15(2), 2000.
[9] Brin, S. and Page, L., “The Anatomy of a Large-scale Hypertextual Web Search Engine,” Computer Networks and ISDN Systems, 30(1-7), 1998.
[10] Byrd, R. J. and Ravin, Y., “Identifying and Extracting Relations in Text,” Proc. of International Conference on Applications of Natural Language to Information Systems NLDB’99, 1999.
[11] Cbakrabarti, S., Dom, B. E., Kumar, S. R., Rajagopalan, S., Tomkins, A., Gibson, D. and Kleinberg, J., “Mining the Web`s Link Structure,” IEEE Computer, 32(8), 1999.
[12] Chakrabarti, S., “Recent Results in Automatic Web Resource Discovery,” ACM Computing Surveys, 31(4), 1999.
[13] Dore, J. C. and Ojasoo, T., “How to Analyze Publication Time Trends by Correspondence Factor Analysis: Analysis of Publications by 48 Countries in 18 Disciplines over 12 years,” Journal of the American Society for Information Science, 52(9), 2001.
[14] Efe, K., Raghavan, V., Chu, C. H., Broadwater, A. L., Bolelli, L. and Ertekin, S., “The Shape of the Web and Its Implications for Searching the Web,” Proc. of the International Conference on the Advances in Infrastructure for Electronic Business, Science, and Education on the Internet, 2000.
[15] Faure, D. and Nedellec, C., “A Corpus-based Conceptual Clustering Method for Verb Frames and Ontology,” Proc. of LREC Workshop on Adapting Lexical and Corpus Resources to Sublanguages and Applications, 1998.
[16] Getoor, L., ”Link Mining: A New Data Mining Challenge,” SIGKDD Explorations, 4(2), 2003.
[17] Giles, C. L., Bollacker, K. D. and Lawrence S., ”CiteSeer: An Automatic Citation Indexing System,” Proc. of the Third ACM Conference on Digital Libraries, 1998.
[18] Gomez-Perez, A., Fernandez-Lopez, M. and Corcho, O., Ontological Engineering: with Examples from the Areas of Knowledge Management, E-Commerce and the Semantic Web, Springer-Verlag, 2002.
[19] Gomez-Perez, A. and Manzano-Macho, D., “A Survey of Ontology Learning Methods and Techniques,” Technical Report, Institute of Computer Science, Leopold Franzens University of Innsbruck, 2003.
[20] Gomez-Perez, A. and Benjamines, V. R., “Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-solving methods,” Proc. of the Sixteenth International Joint Conference on Artificial Intelligence Workshop on Ontologies and Problem-Solving, 1999.
[21] ”Journal Selection Process,” http://www.isinet.com/selection/
[22] Kleinberg, J. M., “Hubs, Authorities, and Communities,” ACM Computing Surveys, 31(4), 1999.
[23] Kleinberg, J. M., “Authoritative Source in a Hyperlinked Environment,” Journal of the ACM, 46(5), 1999.
[24] Kostoff, R. N., Rio, J. A. D., Humenik, J. A., Garcia, E. O. and Ramirez, A. M., “Citation Mining: Integrating Text Mining and Bibliometrics for Research User Profiling,” Journal of the American Society for Information Science, 52(13), 2001.
[25] Larson, R. R., “Bibliometrics of the World Wide Web: An Exploratory Analysis of the Intellectual Structure of Cyberspace,” Proc. American Society for Information Science and Technology ASIS 96, 1996.
[26] Lawrence, S., Giles, C. L. and Bollacker, K., “Digital Libraries and Autonomous Citation Indexing,” IEEE Computer, 32(6), 1999.
[27] Lawrence, S., Bollacker, K. and Giles, C. L., “Indexing and Retrieval of Scientific Literature,” Proc. Eighth International Conference on Information and Knowledge Management CIKM 99, 1999.
[28] Lawrie, D. and Croft, W.B., “Discovering and Comparing Topic Hierarchies,” Proc. of RIAO 2000 Conference, 2000.
[29] Lempel, R. and Moran, S., “The Stochastic Approach for Link-Structure Analysis (SALSA) and the TKC Effect,” Proc. of the Ninth International World Wide Web Conference, 2000.
[30] Maedche, A. and Staab, S., “Discovering Conceptual Relations from Text,“ Proc. of European Conference on Artificial Intelligence ECAI’00, 2000.
[31] Maedche, A. and Staab, S., “Ontology Learning for the Semantic Web,“ IEEE Intelligent Systems, 16(2), 2001.
[32] McGovern, A., Friedland, L., Hay, M., Gallagher, B. and Fast, A., “Exploiting Relational Structure to Understand Publication Patterns in High-Energy Physics,“ SIGKDD Explorations, 5(2), 2003.
[33] Page, L., Brin, S., Motwani, R. and winograd, T., “The PageRank Citation Ranking: Bring Order to the Web,“ http://google.stanford,edu/~backrub/pageranksub.ps
[34] Paul E. van der Vet, Nicolaas J.I. Mars., “Bottom-Up Construction of Ontologies,“ IEEE Transactions on Knowledge and Data Engineering, 10(4), 1998.
[35] Popescul, A., Flake, G. W., Lawrence, S., Ungar, L. H. and Giles, C. L., “Clustering and Identifying Temporal Trends in Document Databases,“ Proc. of the Fifth IEEE Advances in Digital Libraries, 2000.
[36] Rafiei, D. and Mendelzon, A. O., “What is this Page Known for? Computing Web Page Reputations,“ Proc. of the Ninth International World Wide Web Conference, 2000.
[37] “search.cpan.org: LWP-The World Wide Web library for Perl,“ http://search.cpan.org/~gaas/libwww-perl-5.76/lib/LWP.pm
[38] “search.cpan.org: Math::Cephes::Matrix - Perl interface to the cephes matrix routines,“ http://search.cpan.org/~rkobes/Math-Cephes-0.42/lib/Math/Cephes/Matrix.pm
[39] Shih, F. M., Discovering Ontological Information from the On-line Publications, Master Thesis, Institute of Computer and Information Science, National Chiao tung University, 2003.
[40] Shun, S. B., Motta, E. and Dpminigue, J., “ScholOnto: An Ontology-Based Digital Library Server for Research Documents and Discourse,“ International Journal on Digital Libraries, 3(3), 2000.
[41] Small, H., “Visualizing Science by Citation Mapping,“ Journal of the American Society for Information Science, 50(9), 1999.
[42] Suryanto, H. and Compton, P., “Discovery of Ontologies from Knowledge Bases,“ Proc. of the First International Conference on Knowledge Capture, New York, USA, 2001.
[43] Vaughan, L. and Shaw, D., “Bibliographic and Web Citations: What Is the Difference?“ Journal of the American Society for Information Science, 54(14), 2003.
[44] White, H. D., “Author Cocitation Analysis and Pearson’s r,“ Journal of the American Society for Information Science, 54(13), 2003.
[45] White, H. D., “Pathfinder Networks and Author Cocitation Analysis: A Remapping of Paradigmatic Information Scientists,“ Journal of the American Society for Information Science, 54(5), 2003.
[46] Yaru, D., “Brief Communication Structural Modeling of Network Systems in Citation Analysis,“ Journal of the American Society for Information Science, 48(10), 1997.
[47] Yu, P. S., Li, X. and Liu, B., “On the Temporal Dimension of Search,“ Proc. of the Thirteenth International World Wide Web Conference, 2004.
[48] Zha, H., “Generic Summarization and Keyphrase Extraction Using Mutual Reinforcement Principle and Sentence Clustering,“ Proc. of the twenty-fifth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002.
[49] 蔡明月, 資訊計量學與文獻特性, 國立編譯館, 2003.
描述 碩士
國立政治大學
資訊科學學系
91753003
93
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0917530031
資料類型 thesis
dc.contributor.advisor 沈錳坤zh_TW
dc.contributor.advisor Shan, Man-Kwanen_US
dc.contributor.author (Authors) 周大鈞zh_TW
dc.contributor.author (Authors) Chou, Ta-Chunen_US
dc.creator (作者) 周大鈞zh_TW
dc.creator (作者) Chou, Ta-Chunen_US
dc.date (日期) 2004en_US
dc.date.accessioned 17-Sep-2009 14:06:05 (UTC+8)-
dc.date.available 17-Sep-2009 14:06:05 (UTC+8)-
dc.date.issued (上傳時間) 17-Sep-2009 14:06:05 (UTC+8)-
dc.identifier (Other Identifiers) G0917530031en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/32706-
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) 91753003zh_TW
dc.description (描述) 93zh_TW
dc.description.abstract (摘要) 對學者而言，其研究主題的本體論資訊，包括有影響力的論文、有影響力的會議、有影響力的期刊和有影響力的研究者等資料，是學術研究的重要資訊。利用研究主題的本體論資訊，就能對該領域有大致的瞭解。因此本研究的目的，就是針對特定研究主題，自動的從WWW中，探勘出此主題的本體論資訊，包含此主題中有影響力的論文、作者、會議和期刊。
我們先從WWW上透過CiteSeer取得與主題相關的學術論文，再透過引用關係去擴充論文集合。由這些論文中利用資訊萃取的技術，找出論文出處和作者。接著分別根據引用關係分析論文、會議、期刊和作者的影響力指標，我們也考慮論文、會議、期刊和作者之間的mutual reinforcing relation，修改Webpage Ranking Algorithms，來幫助計算由論文引用關係所得的影響力指標。
我們實做出系統，提供使用者查詢特定研究主題的本體論資訊，並且找出相關學者、期刊、論文的網站。我們請具有該研究主題專長的學者，評估系統的效果，得出將近60%的準確率。		zh_TW
dc.description.abstract (摘要) Ontological information of research topic, that includes influential papers, conferences, journals, and authors, is the important information of academic research for researchers. Ontological information gives an overview of specific research topic for researchers. Our research is to discover the ontological information of specific research topic from WWW. Firstly, we collect papers that related to specific research topic. These papers are collected by querying CiteSeer. The dataset of papers is extended by citation information further. Then, the metadata of these papers is extracted by Information Extraction technique. After analyzing the influence of papers, conferences, journals, and authors individually based on citation analysis, the influence between them will be considered mutually. We modify the Webpage Ranking Algorithms to be adapted in our research for mutual reinforcing relation analysis.
We implemented a system that offers users the ontological information of specific research topic after querying from this system. And discover the website of related authors, conferences, and journals. The results evaluated by experts in specific topic are near sixty percent correct.		en_US
dc.description.tableofcontents 第一章 簡介 1
第二章 相關研究 5
2.1 本體論 5
2.2 資訊計量學 7
2.3 網頁排序演算法 10
第三章 研究議題 15
3.1 Properties for Definition 15
3.2 Mutual Reinforcing Relation 17
3.3 資料集合 18
3.4 資訊萃取 19
第四章 Proposed Approaches 22
4.1資料集合收集 24
4.1.1 Base Set Finding 26
4.1.2 Base Set Extension 29
4.2 資訊萃取 29
4.2.1 論文出處辨認 31
4.2.2 論文作者辨認 36
4.2.3 輔助資料 37
4.3 Paper-based Ranking 38
4.4 改進方式 40
4.4.1 Improved Base Set Extension 40
4.4.2 Improved Paper-based Ranking 41
4.5 Website Locating 46
第五章 系統架構與實做 49
5.1 系統架構 49
5.2 系統實做 53
5.2.1 Query Processor 54
5.2.2 DataSet Preparor 54
5.2.3 Ranker 55
5.2.4 Website Locator 56
5.2.5 Clustering Module 57
5.2.6 Crawler 57
5.2.7 PreProcessor 69
5.2.8 Database 70
5.2.9 Free Software Packages 73
第六章 實驗設計與結果評估 76
6.1實驗設計與評估方式 76
6.2結果評估 77
6.2.1 Converge 78
6.2.2 Fixed Dataset 79
6.2.3 Personal Website Identification 82
6.2.4 Summary of Experiments 82
第七章 結論與討論 86
7.1 結論 86
7.2 討論 87
6.2 未來研究 88
參考文獻 90		zh_TW
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dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0917530031en_US
dc.subject (關鍵詞) 本體論zh_TW
dc.subject (關鍵詞) 學術研究zh_TW
dc.subject (關鍵詞) 全球資訊網zh_TW
dc.subject (關鍵詞) 資料探勘zh_TW
dc.subject (關鍵詞) Ontologyen_US
dc.subject (關鍵詞) Academic researchen_US
dc.subject (關鍵詞) WWWen_US
dc.subject (關鍵詞) Data miningen_US
dc.title (題名) 由全球資訊網探勘學術研究領域的本體論資訊zh_TW
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) About CiteSeer,” http://citeseer.ist.psu.edu/citeseer.htmlzh_TW
dc.relation.reference (參考文獻) [2] Benjamins, V. R., Fensel, D., Decker, S. and Sauncion, G. P., “(KA)2: Building Ontologies for the Internet: A Midterm Report,” International Journal of Human-Computer Studies, 51(3), 1999.zh_TW
dc.relation.reference (參考文獻) [3] Berners-Lee, T., Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor, HarperCollins Publishers, New York, 1999.zh_TW
dc.relation.reference (參考文獻) [4] Bharat, K., Chang, B. W., Henzinger, M. and Ruhl, M., “Who Links to Whom: Mining Linkage between Web Sites,” Proc. of the First IEEE International Conference on Data Mining, 2001.zh_TW
dc.relation.reference (參考文獻) [5] “Bit::Vector - Efficient Bit Vector, Set of Integers and Big Int Math Library,” http://www.engelschall.com/~sb/download/Bit-Vector/czh_TW
dc.relation.reference (參考文獻) [6] Bollacker, K. D., Lawrence, S. and Giles C. L., “CiteSeer: An Autonomous Web Agent for Automatic Retrieval and Identification of Interesting Publications,” Proc. of the Second International conference on Autonomous Agents, 1998.zh_TW
dc.relation.reference (參考文獻) [7] Bollacker, K. D., Lawrence, S. and Giles, C. L., “A System For Automatic Personalized Tracking of Scientific Literature on the Web,” Proc. of the fourth ACM Conference on Digital Libraries, 1999.zh_TW
dc.relation.reference (參考文獻) [8] Bollacker, K. D., Lawrence, S. and Giles, C. L., “Discovering Relevant Scientific Literature on The Web,” IEEE Intelligent Systems, 15(2), 2000.zh_TW
dc.relation.reference (參考文獻) [9] Brin, S. and Page, L., “The Anatomy of a Large-scale Hypertextual Web Search Engine,” Computer Networks and ISDN Systems, 30(1-7), 1998.zh_TW
dc.relation.reference (參考文獻) [10] Byrd, R. J. and Ravin, Y., “Identifying and Extracting Relations in Text,” Proc. of International Conference on Applications of Natural Language to Information Systems NLDB’99, 1999.zh_TW
dc.relation.reference (參考文獻) [11] Cbakrabarti, S., Dom, B. E., Kumar, S. R., Rajagopalan, S., Tomkins, A., Gibson, D. and Kleinberg, J., “Mining the Web`s Link Structure,” IEEE Computer, 32(8), 1999.zh_TW
dc.relation.reference (參考文獻) [12] Chakrabarti, S., “Recent Results in Automatic Web Resource Discovery,” ACM Computing Surveys, 31(4), 1999.zh_TW
dc.relation.reference (參考文獻) [13] Dore, J. C. and Ojasoo, T., “How to Analyze Publication Time Trends by Correspondence Factor Analysis: Analysis of Publications by 48 Countries in 18 Disciplines over 12 years,” Journal of the American Society for Information Science, 52(9), 2001.zh_TW
dc.relation.reference (參考文獻) [14] Efe, K., Raghavan, V., Chu, C. H., Broadwater, A. L., Bolelli, L. and Ertekin, S., “The Shape of the Web and Its Implications for Searching the Web,” Proc. of the International Conference on the Advances in Infrastructure for Electronic Business, Science, and Education on the Internet, 2000.zh_TW
dc.relation.reference (參考文獻) [15] Faure, D. and Nedellec, C., “A Corpus-based Conceptual Clustering Method for Verb Frames and Ontology,” Proc. of LREC Workshop on Adapting Lexical and Corpus Resources to Sublanguages and Applications, 1998.zh_TW
dc.relation.reference (參考文獻) [16] Getoor, L., ”Link Mining: A New Data Mining Challenge,” SIGKDD Explorations, 4(2), 2003.zh_TW
dc.relation.reference (參考文獻) [17] Giles, C. L., Bollacker, K. D. and Lawrence S., ”CiteSeer: An Automatic Citation Indexing System,” Proc. of the Third ACM Conference on Digital Libraries, 1998.zh_TW
dc.relation.reference (參考文獻) [18] Gomez-Perez, A., Fernandez-Lopez, M. and Corcho, O., Ontological Engineering: with Examples from the Areas of Knowledge Management, E-Commerce and the Semantic Web, Springer-Verlag, 2002.zh_TW
dc.relation.reference (參考文獻) [19] Gomez-Perez, A. and Manzano-Macho, D., “A Survey of Ontology Learning Methods and Techniques,” Technical Report, Institute of Computer Science, Leopold Franzens University of Innsbruck, 2003.zh_TW
dc.relation.reference (參考文獻) [20] Gomez-Perez, A. and Benjamines, V. R., “Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-solving methods,” Proc. of the Sixteenth International Joint Conference on Artificial Intelligence Workshop on Ontologies and Problem-Solving, 1999.zh_TW
dc.relation.reference (參考文獻) [21] ”Journal Selection Process,” http://www.isinet.com/selection/zh_TW
dc.relation.reference (參考文獻) [22] Kleinberg, J. M., “Hubs, Authorities, and Communities,” ACM Computing Surveys, 31(4), 1999.zh_TW
dc.relation.reference (參考文獻) [23] Kleinberg, J. M., “Authoritative Source in a Hyperlinked Environment,” Journal of the ACM, 46(5), 1999.zh_TW
dc.relation.reference (參考文獻) [24] Kostoff, R. N., Rio, J. A. D., Humenik, J. A., Garcia, E. O. and Ramirez, A. M., “Citation Mining: Integrating Text Mining and Bibliometrics for Research User Profiling,” Journal of the American Society for Information Science, 52(13), 2001.zh_TW
dc.relation.reference (參考文獻) [25] Larson, R. R., “Bibliometrics of the World Wide Web: An Exploratory Analysis of the Intellectual Structure of Cyberspace,” Proc. American Society for Information Science and Technology ASIS 96, 1996.zh_TW
dc.relation.reference (參考文獻) [26] Lawrence, S., Giles, C. L. and Bollacker, K., “Digital Libraries and Autonomous Citation Indexing,” IEEE Computer, 32(6), 1999.zh_TW
dc.relation.reference (參考文獻) [27] Lawrence, S., Bollacker, K. and Giles, C. L., “Indexing and Retrieval of Scientific Literature,” Proc. Eighth International Conference on Information and Knowledge Management CIKM 99, 1999.zh_TW
dc.relation.reference (參考文獻) [28] Lawrie, D. and Croft, W.B., “Discovering and Comparing Topic Hierarchies,” Proc. of RIAO 2000 Conference, 2000.zh_TW
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