請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/43155完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 謝尚賢 | |
| dc.contributor.author | Hsien-Tang Lin | en |
| dc.contributor.author | 林顯堂 | zh_TW |
| dc.date.accessioned | 2021-06-15T01:39:48Z | - |
| dc.date.available | 2010-07-17 | |
| dc.date.copyright | 2009-07-17 | |
| dc.date.issued | 2009 | |
| dc.date.submitted | 2009-07-15 | |
| dc.identifier.citation | [1] C. D. Manning, P. Raghavan, and H. Schütze, Introduction to Information Retrieval, Cambridge University Press, 2008.
[2] Y. Rui, T. S. Huang, and S. F. Chang, “Image retrieval: current techniques, promising directions, and open issues,” Journal of Visual Communication and Image Representation, Vol. 10(1), pp. 39-62, 1999. [3] J. Foote, “Overview of audio information retrieval,” Multimedia Systems, Vol. 7(1), pp. 2-10, 1999. [4] S. W. Smoliar and H. J. Zhang, “Content-based video indexing and retrieval ,“ IEEE Multimedia, Vol. 1 (2), pp. 62-72, 1994. [5] T. O’Reilly, “What is web 2.0? Design patterns and business models for the next generation of software,” O’Reilly Network, from http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html [6] N. J. Belkin and W. B. Croft, “Information filtering and information retrieval: two sides of the same coin?” Communications of the ACM, Vol. 35(12), pp. 29–38, 1992. [7] C. Basu, H. Hirsh, and W. W. Cohen, “Recommendation as classification: using social and content-based information in recommendation,” in Proceedings of the 15th National Conference on Artificial Intelligence (AAAI-98), pp. 714–720, 1998. [8] G. Salton, A. Wong, and C. Yang, “A vector space model for automatic indexing,” Communications of the ACM, Vol. 18(11), pp. 613-620, 1975. [9] C. Clarke and G. Cormack, “Dynamic inverted indexes for a distributed full-text retrieval system,” Technical Report MT-95-01, University of Waterloo, 1995. [10] C. C. Foster, “Information retrieval: information storage and retrieval using AVL trees,” in Proceedings of the 1965 20th national conference, pp.192-205, 1965. [11] A. F. Smeaton and C. J. Rijsbergen, “The retrieval effects of query expansion on a feedback document retrieval system,” The Computer Journal, Vol. 26(3), pp. 239-46, 1983. [12] Y. Qiu and H. P. Frei, “Concept Based Query Expansion,” in Proceedings of SIGIR-93, 1993. [13] N. Fuhr, “Optimum polynomial retrieval functions based on the probability ranking principle,” ACM Transactions on Information Systems, Vol. 7(3), pp. 183–204, 1989. [14] C. Caldas, L. Soibelman, and L. Gasser, “Methodology for the integration of project documents in model-based information systems”, Journal of Computing in Civil Engineering, Vol. 1, pp. 25-33, 2005. [15] M. Wetherill, Y. Rezgui, C. Lima, and A. Zarli, “Knowledge management for the construction industry: the e-cognos project,” ITCON, Vol. 7, 2002. [16] A. S. Kazi, M. Hannus, and C. Charoenngam, “An exploration of knowledge management for construction,” in Proceedings of the 2nd International Conference on CE in Construction (CIB Publication 236), 1999. [17] Z. Turk, B. C. Björk, C. Johansson, and K. Svensson, “Document management systems as an essential step towards CIC,” in Proceedings of the CIB W78 workshop on Computer Integrated construction, 1994. [18] Y. Rezgui, Y. Brown, G. Cooper, J. Yip, P. Brandon, and J. Kirkham, “An information management model for concurrent construction engineering,” Journal of Automation in Construction, Vol. 5(4), pp. 343–355, 1996. [19] D. M. Stasiak, J. H. Garrett, and S. J. Fenves, “A broker for tracking, delivering, and using regulations over the World Wide Web,” in Proceedings of the 1996 IEEE International Symposium on Electronics and the Environment, pp. 293-297, 1996. [20] B. M. Brüggemann, K. Holz, and F. Molkenthin, “Semantic documentation in engineering,” in Proceedings of the ICCCBE-VIII, pp. 828-835, 2000. [21] S. Liu, C. A. McMahon, M. J. Darlington, S. J. Culley, and P. J. Wild, “A computational framework for retrieval of document fragments based on decomposition schemes in engineering information management,” Advanced Engineering Informatics, Vol. 20, pp. 401-413, 2006. [22] B. Kosovac, T. Froese, and D. Vanier, “Integrating heterogeneous data representations in model-based AEC/FM systems,” in Proceedings of CIT 2000, pp. 556-566, 2000. [23] B. Kosovac, D. Vanier, and T. Froese, “Use of keyphrase extraction software for creation of AEC/FM thesaurus,” ITcon, Vol. 5, pp. 25-36, 2000. [24] R. J. Dzeng and S. Y. Chang, “Learning search keywords for construction procurement,” Automation in Construction, Vol. 14(1), pp. 45-58, 2005. [25] Y. Chen and R. Amor, “Identification and classification of A/E/C web sites and pages,” in Proceedings of the CIB W78 Conference on Distributing Knowledge in Building, pp. 37-44, 2002. [26] Ž. Turk and T. Cerovšek, “Mapping the W78 papers onto the construction informatics topic map,” in Proceedings of the CIB W78's 20th International Conference on Construction IT, pp. 423-432, 2003. [27] C. Caldas and L. Soibelman, “Automating hierarchical document classification for construction management information systems,” Automation in Construction, Vol. 12(4), pp. 395-406, 2003. [28] C. Caldas, L. Soibelman, and L. Gasser, “Methodology for the integration of project documents in mode-based information systems,” Journal of Computing in Civil Engineering, Vol. 19(1), pp. 25-33, 2005. [29] J. McKechnie, S. Shaaban, and S. Lockley, “Computer-assisted processing of large unstructured document sets - a case study in the construction industry,” in Proceedings of the 2001 ACM Symposium on Document Engineering, pp. 11-17, 2001. [30] F. Meziane and Y. Rezgui, “A document management methodology based on similarity contents,” Information Science, Vol. 158, pp. 15-36, 2004. [31] Y. Rezgui, “Ontology-centered knowledge management using information retrieval techniques,” Journal of Computing in Civil Engineering, Vol. 20(4), pp. 261-270, 2006. [32] K. Y. Lin and L. Soibelman, “Promoting transactions for A/E/C product information,” Automation in Construction, Vol. 15(6), pp. 746-757, 2006. [33] R. Amor and K. Xu, “Automated classification of A/E/C web content,” in Proceedings of CIB W78’s 22nd International Conference on Information Technology in Construction, 2005. [34] R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval, 1st edition, Addison-Wesley, 1999. [35] K. Y. Lin, S. H. Hsieh, H. P. Tserng, K. W. Chou, H. T. Lin, C. P. Huang, and K. F. Tzeng, “Enabling the creation of domain-specific reference collections to support text-based information retrieval experiments in the architecture, engineering, and construction industries,” Advanced Engineering Informatics, Vol. 22, pp. 350-361, 2007. [36] K. Y. Lin, K. W. Chou, H. T. Lin, S. H. Hsieh, and H. P. Tserng, “Exploring the effectiveness of Chinese-to-English machine translation for CLIR applications in earthquake engineering,” Journal of Computing in Civil Engineering, Vol. 23(3), pp. 140-147, 2009. [37] S. Mizzaro, “How many relevance in information retrieval?” Interacting with Computers, Vol. 10 (3), pp. 305-322, 1998. [38] 內政部營建署，「九十四年度營建知識管理系統-建構營建產業知識地圖、分類架構及知識交流標準」，成果報告書，台北，2005。 [39] R. R. Korfhage, Information Storage and Retrieval, John Wiley & Sons, 1997. [40] J. Zobel, “How reliable are the results of large-scale information retrieval experiments?” in Proceedings of SIGIR 98, Melbourne, Australia, pp. 307-314, 1998. [41] E. M. Voorhees and D. K. Harman, “Overview of the 6th text retrieval conference (TREC-6),” in Proceedings of the Sixth Text Retrieval Conference, NIST Special Publication, Gaithersburg, MD, USA, pp. 1-24, 1997. [42] D. Oard, D. Soergel, G. C. Murray, D. Doermann, J. Wang, and B. Ramabhadran, “Building an information retrieval test collection for spontaneous conversational speech,” in Proceedings of the 27th Annual International ACM SIGIR Conference, Sheffield, England, pp. 41-48, 2004. [43] M. Sanderson and H. Joho, “Forming test collections with no system pooling,” in Proceedings of the 27th Annual International ACM SIGIR Conference, pp. 33-40, 1997. [44] L. Schamber, “Relevance and information behavior,” Annual Review of Information Science and Technology, Vol. 29, pp. 3-48, 1997. [45] E. M. Voorhees, “Variations in relevance judgments and the measurement of retrieval effectiveness,” in Proceedings of the 21st Annual International ACM SIGIR Conference, pp. 315-323, 1998. [46] J. Cohen, “A coefficient of agreement for nominal scales,” Educational and Psychological Measurement, Vol. 20, pp. 37-46, 1960. [47] J. L. Fleiss, Statistical methods for rates and proportions, 2nd, John Wiley & Sons, Inc., New York, pp. 212-236, 1981. [48] C.D. Manning, P. Raghavan, and H. Schutze, “Evaluation in Information Retrieval,” Introduction to Information Retrieval, Cambridge University Press, 2008. [49] The Lemur Project, http://www.lemurproject.org/, 2007. [50] T. Strohman, D. Metzler, H. Turtle, and W. B. Croft, “Indri: a language-model based search engine for complex queries,” Technical report, University of Massachusetts, 2007. [51] E. Greengrass, “Information retrieval: A survey,” Online Review http://www.csee.umbc.edu/cadip/readings/IR.report.120600.book.pdf, 2000. [52] S. E. Robertson, S. Walker, and M. Beaulieu, “Okapi at TREC7, automatic ad hoc, filtering, VLC and filtering tracks,” in Proceedings of Seventh Text REtrieval Conference (TREC-7), pp. 253-264, 1999. [53] C. X. Zhai and J. Lafferty, “A study of smoothing methods for language models applied to ad hoc information retrieval,” in Proceedings of SIGIR, pp. 334–342, 2001. [54] W. R. Hersh and R. T. Bhupatiraju, “TREC genomics track overview,” in Proceedings of the Twelfth Text Retrieval Conference (TREC 2003), pp. 14-23, 2003. [55] G. W. Corder and D. I. Foreman, Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach, Wiley, 2009. [56] H. H. Chen, “Cross-Language information retrieval,” in Proceedings of ROCLING Workshop on ED/MT/IR, pp. 1-27, 1997. [57] M. Rogati and Y. Yang, “Resource selection for domain-specific Cross-Lingual IR,” in Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 154–161, 2004. [58] M. Kluck and F. Gey, “The domain-specific task of CLEF - specific evaluation strategies in cross-language information retrieval,” in Proceedings of the CLEF 2000 Evaluation Forum, pp. 48-56, 2000. [59] W. Y. Ma and K. J. Chen, “Introduction to CKIP Chinese word segmentation system for the First International Chinese Word Segmentation Bakeoff,” in Proceedings of the ACL Second SIGHAN Workshop on Chinese Language Processing, pp. 168-171, 2003. [60] F. Zou, F. L. Wang, X. Deng, and S. Han, “Automatic identification of Chinese stop words,” Research on Computing Science, Vol. 18, pp. 151-163, 2006. [61] J. L. Tsai, C. L. Sung, and W. L. Hsu, “Chinese word auto-confirmation system using a hybrid approach,” in Proceedings of ROCLING XV, 2003. [62] CEDICT, Chinese English Dictionary, http://www.mandarintools.com/cedict.html (last updated August 25, 2007) [63] 劉君祖，牛頓工程辭典，牛頓出版股份有限公司，台北市，1989。 [64] F. Wilcoxon, “Individual comparisons by ranking methods,” Biometrics, Vol. 1, pp. 80-83, 1945. [65] J. Davies, F. van Harmelen, and D. Fensel, Towards the semantic web: ontology-driven knowledge management, John Wiley & Sons, Inc., 2002. [66] T. R. Gruber, Toward principles for the design of ontologies used for knowledge sharing, Technical Report, KSL 93-04, Knowledge Systems Laboratory, Stanford University, Palo Alto, CA, USA, 1993. [67] N. F. Noy and D. L. McGuinness, Ontology development 101: A guide to creating your first ontology, Technical Report SMI-2001-0880, Stanford Medical Informatics, Stanford University, Palo Alto, CA, USA, 2001. [68] S. C. Bailin and W. Truszkowski, Ontology negotiations between intelligent information agents, J. Knowl. Eng. Rew. Vol. 17 (1), pp. 7-19, 2002. [69] S. Gauch, J. Chaffee, and A. Pretschner, “Ontology-based personalized search and browsing,” Web Intelligent Agent System, Vol. 1 (3-4), pp. 219-234, 2003. [70] T. Asikainen, T. Männistö, and T. Soininen, ”Kumbang: A domain ontology for modeling variability in software product families,” Advanced Engineering Informatics, Vol. 21 (1), pp. 23-40, 2007. [71] N. Gu, J. Xu, X. Wu, J. Yang, and W. Ye, “Ontology based semantic conflicts resolution in collaborative editing of design documents,” Advanced Engineering Informatics, Vol. 19 (2), pp. 103-111, 2009. [72] M. A. Sicilia, “Ontology of systems and software engineering,” Advanced Engineering Informatics, Vol. 21 (2), pp. 117-118, 2007. [73] J. C. de Almeida Biolchini, P. G. Mian, A. C. C. Natali, T. U. Conte, and G. H. Travassos, “Scientific research ontology to support systematic review in software engineering,” Advanced Engineering Informatics, Vol. 21 (2), pp. 133-151. [74] D. O’Leary D, “Using AI in knowledge management: knowledge bases and ontologies,” IEEE Intelligent System, Vol. 13 (3), pp. 34-39, 1998. [75] S. Staab, H.P. Schnurr, R. Studer, and Y. Sure, “Knowledge processes and ontologies,” IEEE Intelligent System, Vol. 16 (1), pp. 26-34, 2001. [76] M. Ashburner, C. A. Ball, J. A. Blake, D. Botstein, H. Butler, J. M. Cherry, A. P. Davis, K. Dolinski, S. S. Dwight, and J. T. Eppig, “Gene ontology: tool for the unification of biology,” The Gene Ontology Consortium, Nat Genet, Vol. 25, pp. 25-29, 2002. [77] A. S. Sidhu, T. S. Dillon, E. Chang, and B. S. Sidhu, “Protein ontology: vocabulary for protein data,” in Proceedings of the 3rd IEEE ICITA’05, Vol. 1, pp. 465-469, 2005. [78] A. Yu, “Methods in biomedical ontology,” Journal of Biomedical Informatics, Vol. 39, pp. 252-266, 2006. [79] R. G. Raskin and M. J. Pan, “Knowledge representation in the Semantic Web for Earth and Environmental Terminology (SWEET),” Computers and Geosciences, Vol. 31, pp. 1119-1125, 2005. [80] M. J. Darlington and S. J. Culley, “Investigating ontology development for engineering design support,” Advanced Engineering Informatics, Vol. 22(1), pp. 112-132, 2008. [81] C. Lima, T.E. El-Diraby, and J. Stephens, “Ontology-based optimization of knowledge management in e-construction,” Journal of IT in Construction, Vol. 10, pp. 305-327, 2005. [82] Y. Rezgui, “Ontology-centered knowledge management using information retrieval techniques,” Journal of Computing in Civil Engineering, Vol. 20 (4) , pp. 261- 270, 2006. [83] T. E. El-Diraby, C. Lima, and S. Feis, “Domain taxonomy for construction concepts: toward a formal ontology for construction knowledge,” Journal of Computing in Civil Engineering, Vol. 4, pp. 394–406, 2005. [84] T. E. EI-Diraby, “Distribute ontology architecture for knowledge management in highway construction,” Journal of Construction Engineering Management, Vol. 131(5), pp. 591-603, 2005. [85] Z. Turk, “Construction informatics: Definition and ontology,” Advanced Engineering Informatics, Vol. 20 (2), pp. 187-199, 2006. [86] K. Wender and R. Hübler, “Enabling more human-oriented exploration of complex building information models,” Journal of Computing in Civil Engineering, Vol. 23 (2), pp. 84-90, 2009. [87] B. Succar, “Building information modelling framework: A research and delivery foundation for industry stakeholders,” Automation in Construction, Vol. 18 (3), pp. 357-375, 2009. [88] S. H. Hsieh and M. D. Lu, “Collaborative engineering software development: ontology-based approach,” Lecture Notes in Artificial Intelligence, pp. 328-342, 2006. [89] R. Peachavanish, H. A. Karimi, B. Akinci, and F. Boukam, “An ontological engineering approach for integrating CAD and GIS in support of infrastructure management,” Advanced Engineering Informatics, Vol. 20 (1), pp. 71-78, 2006. [90] A. C. B. Garcia, J. Kunz, M. Ekstrom, and A. Kiviniemi, “Building a project ontology with extreme collaboration and virtual design and construction,” Advanced Engineering Informatics, Vol. 18 (2), pp. 71-83, 2004. [91] S. Staub-French, M. Fischer, J. Kunz, and B. Paulson, “An ontology for relating features with activities to calculate costs,” Journal of Computing in Civil Engineering, Vol. 17 (4), pp. 243-254, 2003. [92] M. Uschold and M. Gruninger, “Ontologies: principles, methods and applications,” Journal of Knowledge Engineering Review, Vol. 11 (2), pp. 93-155, 1996. [93] N. F. Noy, M. Sintek, S. Decker, M. Crub′ezy, R. Fergerson, and M. Musen, “Creating semantic web contents with Protege-2000,” IEEE Intelligent System, Vol. 16 (2), pp. 60-71, 2001. [94] W. F. Chen and C. Scawthorn, Earthquake Engineering Handbook - New Directions in Civil Engineering, CRC Press, Boca Raton, Florida, 2003. [95] N. Guarino, “Formal ontology, conceptual analysis and knowledge representation,” International Journal of Human Computer Studies, Vol. 43 (5/6), pp. 625-640, 1995. [96] I. Horrocks, D. Fensel, J. Broekstra, S. Decker, M. Erdmann, and C. Goble, “The Ontology Inference Layer OIL,” Technical Report, Vrije University, Amsterdam, 2002. [97] I. Herman and M. Marshall, “GraphXML - An XML-based graph description format,” in Proceedings of Symposium on Graph Drawing (GD 2000), pp. 52-62, 2000. [98] A. Gomez-Perez, “Evaluation of taxonomic knowledge in ontologies and knowledge bases,” in Proceedings of the 12th Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, Alberta, Canada, 1999. [99] R. W. Day, Geotechnical Earthquake Engineering Handbook. McGraw-Hill, New York, NY, USA, 2001. [100] J. D. Walker and H. A. Cohen, Geoscience Handbook: AGI Data Sheets 4th edition, American Geological Institute, Alexandria, Virginia, USA, 2006. [101] J. H. Lee, “Combining multiple evidence from different properties of weighting schemes,” in Proceedings of the 18th Annual International ACMSIGIR, pp. 180-188, 1995. [102] J. P. Callan, “Passage-level evidence in document retrieval,” in Proceedings of the 17th Annual International ACM-SIGIR, pp. 302-310, 1994. [103] M. Kaszkiel and J. Zobel, “Passage retrieval revisited,” in Proceedings of the 20th Annual International ACM-SIGIR, pp. 178-185, 1997. [104] R. Wilkinson, “Effective retrieval of structured documents,” in Proceedings of the 18th Annual International ACM-SIGIR, pp. 311-317, 1994. [105] G. Salton, J. Alan, and C. Buckley, “Approaches to passage retrieval in full text information systems,” in Proceedings of the 16th Annual International ACM-SIGIR, pp. 49-58, 1993. [106] M. A. Hearst and C. Plaunt, “Subtopic structuring for full-length document access,” in Proceedings of the 16th Annual International ACM-SIGIR, pp. 59-68, 1993 [107] C. L. Clarke, G. V. Cormak, D. I. E. Kisman, and T. R. Lynam, “Question answering by passage selection,” in Proceedings of the Text Retrieval Conference (TREC-9), pp. 65-76, 2000. [108] C. L. Clarke, G. V. Cormak, and E. A. Tudhope, “Relevance ranking for one to three term queries,” Information Processing and Management, vol. 36, pp. 291-311, 2000. [109] R. Barzilay and L. Lee, “Catching the drift: Probabilistic content models, with applications to generation and summarization,” in Proceedings of HLT-NAACL 2004, pp. 113-120, 2004. [110] M. White, T. Korelsky, C. Cardie, V. Ng, D. Pierce, and K. Wagstaff, “Multi-document summarization via information extraction,” in Proceedings of the HLT Conference, pp. 263–269, 2001. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/43155 | - |
| dc.description.abstract | 本研究以發展土木及營建領域之資訊檢索技術為出發點，目的在研究過程中找出本領域文件之特徵，並嘗試以領域專業知識協助提升資訊檢索之效能。為此，本研究共分三個主要階段進行：1. 建立特定領域之測試文件集，提供一個評比檢索方法效能的平台，做為發展後續檢索方法的測試基準；2. 由特定領域資訊手冊擷取該領域之知識本體(Ontology)，透過權重分析法協助修訂以減輕領域專家投入發展知識本體之工作負荷；3. 以知識本體做為領域知識之來源，研究如何以知識本體協助擷取文件段落(Passage)，以文件段落檢索的方式提升特定領域文件檢索之效能，本方法命名為OntoPassage。本論文中將詳述各階段的研究動機、問題發想以及解決方案，一步步建構完成最後文件段落檢索所需的各項資源，除了以實驗的數據佐證OntoPassage可確實提升文件檢索之效能，亦由OntoPassage檢索系統的實作展示OntoPassage具有領域知識特徵之優點。 | zh_TW |
| dc.description.abstract | The major purpose of this research is to discover the information retrieval related characteristics of the domain-specifics text documents during the development of the IR models for architecture, engineering and construction domain. The authors proposed a set of research progress to finding the solution to improve the retrieval performance for domain-specific documents, including: a. preparing the testing reference collection to provide a standard platform for evaluating the developed IR models; b. propose a methodology to extract the domain ontology from domain handbooks, and to reduce the work load for participating experts while editing and revising the ontology; c. propose a novel passage retrieval model, named “OntoPassage”, it takes domain ontology to producing concept-oriented passages that could improve the retrieval performance of the domain-specific IR. In the thesis, the research objectives, problems faced and proposed solutions of each progress were discussed separated in independent chapters. The experiment results showed the OntoPassage could highly improve the retrieval performance. OntoPassage retrieval system also demonstrates the potential success of learning and sharing the domain knowledge by using the concept-oriented retrieval scenario. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T01:39:48Z (GMT). No. of bitstreams: 1 ntu-98-D93521003-1.pdf: 4783923 bytes, checksum: 88c9187f82e8a6e11b3c414cea220c21 (MD5) Previous issue date: 2009 | en |
| dc.description.tableofcontents | 誌謝 I
摘要 III 摘要 III Abstract IV 目錄 V 圖目錄 VIII 表目錄 XI 第一章、緒論 1 1-1 研究背景與動機 1 1-2 研究範圍及目的 7 1-3 研究方法及步驟 9 1-4 論文架構 11 第二章、特定領域之資訊檢索 13 2-1 建立特定領域之測試文件集 14 2-1-1 選擇及準備文件 15 2-1-2 定義資訊需求 17 2-1-3 評估文件相關度 19 2-1-4 測試文件集各項屬性說明 23 2-2 效能測試及實驗步驟 25 2-3 跨語言資訊檢索之應用 28 2-3-1 跨語言資訊檢索之目的 28 2-3-2 以機器翻譯實現特定領域中英文跨語言資訊檢索 30 2-3-3 實驗結果與分析 37 2-4 小結 47 第三章、建立特定領域之知識本體 49 3-1 知識本體簡介 50 3-2 由特定領域之手冊擷取知識本體 54 3-2-1 建置專業辭典 57 3-2-2 建立階層以及關聯性 59 3-2-3 定義概念地圖 64 3-2-4 以權重分析協助修訂 68 3-2-5 轉換為OWL 73 3-3 知識本體之評估與檢驗 75 3-4 小結 79 第四章、以知識本體為基礎之文件段落擷取與檢索 81 4-1 文件段落擷取與檢索 83 4-2 OntoPassage段落擷取模型 88 4-2-1 OntoPassage段落擷取概念與操作流程 88 4-2-2 實際範例：NCREE Collection 95 4-3 效能評估與實驗結果 98 4-4 OntoPassage檢索系統之展示 103 4-4-1 概念式檢索情境 104 4-4-2 系統架構 105 4-4-3 系統展示 107 4-4-4 檢索情境效能評估 113 4-5 小結 115 第五章、結論及建議 117 5-1 結論 117 5-2 未來研究方向建議 121 參考文獻 123 附錄A - 地震工程知識管理專家座談會 138 附錄B - 地震工程領域資訊檢索－搜尋結果評估表 140 個人簡歷 143 | |
| dc.language.iso | zh-TW | |
| dc.subject | 文件段落檢索 | zh_TW |
| dc.subject | 知識管理 | zh_TW |
| dc.subject | 知識本體 | zh_TW |
| dc.subject | 測試文件集 | zh_TW |
| dc.subject | 資訊檢索 | zh_TW |
| dc.subject | 搜尋引擎 | zh_TW |
| dc.subject | Reference Collection | en |
| dc.subject | Information Retrieval | en |
| dc.subject | Ontology | en |
| dc.subject | Passage Retrieval | en |
| dc.subject | Knowledge management | en |
| dc.subject | Search Engine | en |
| dc.title | 以知識本體為基礎之特定領域文件段落擷取方法及應用 | zh_TW |
| dc.title | An Ontology-based Passage Retrieval Method and Application for Domain-Specific Documents | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 97-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 曾惠斌,蔡克銓,曾仁杰,邱仁鈿,陳達仁,陳俊杉 | |
| dc.subject.keyword | 資訊檢索,知識本體,文件段落檢索,知識管理,搜尋引擎,測試文件集, | zh_TW |
| dc.subject.keyword | Information Retrieval,Ontology,Passage Retrieval,Knowledge management,Search Engine,Reference Collection, | en |
| dc.relation.page | 144 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2009-07-15 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| 顯示於系所單位： | 土木工程學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-98-1.pdf 未授權公開取用 | 4.67 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。