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題名 A Workload Model on the Use of XML and Ontology in Benchmarking Heterogeneous Information Integration
異質資訊整合中運用XML與Ontology之績效評估模型之研究作者 林玫儀
Lin,Mei Yi貢獻者 諶家蘭
Seng,Jia Lang
林玫儀
Lin,Mei Yi關鍵詞 延伸標記語言
本體論
異質資訊整合
績效評估
工作量模型
XML
Ontology
Heterogeneous Information Integration
Benchmark
Workload Model
Performance Evaluation日期 2003 上傳時間 18-九月-2009 14:34:30 (UTC+8) 摘要 隨著網際網路和企業內部網路的盛行，異質資訊整合成為電子化企業中一個重要的議題，在網路上進行異質資訊整合涉及許多不同新的資訊技術，目前已經有些研究試圖利用延伸標記語言以及本體論當作中介技術來整合異質資訊，為了有效管理企業內的資訊，我們需要一個績效評估模型來衡量異質資訊整合的效能。在本研究中，我們提出了一個在異質資訊整合中運用延伸標記語言及本體論的績效評估工作量模型，並且建立了一個工作量產生器雛形；本研究的目標是希望發展出一個結合延伸標記語言及本體論的工作量模型，以測試在電子化企業中的異質資訊整合是否能整合不同的資訊模型，並且從這些資訊模型中衍生出語意，此工作量模型包含了延伸標記語言與本體論的資料模型與查詢模型，它們是依照延伸標記語言與本體論學名式的資料結構與查詢功能所制訂的，此外，控制模型則定義了績效評估執行環境中所需設定的變數，為了讓此工作量模型能具可攜性和延展性，以便輕易地應用在不同的領域情境中，本研究採取學名結構式且使用者定義、領域獨立的設計方法，最後，我們利用雛形實作來驗證本研究所提出的研究方法。
With the popularity of Internet/Intranet, heterogeneous information integration becomes a hot IT topic in electronic business (EB) field. Heterogeneous information integration on the Web involves a number of new techniques. There have been research projects applying XML and ontology as mediated techniques to consolidate heterogeneous information. In order to manage and use information more effectively within the enterprise, a benchmark used to evaluate the mechanism of heterogeneous information integration is needed. In this research, we develop a XML and ontology benchmark workload model in heterogeneous information integration, and build a workload generation prototype. The objective of this research is to develop a workload model combines XML and ontology to test whether the heterogeneous information integration system under EB environment can overcome the diverse formats of content and derive meaning from this content. The workload model consists of XML and ontology data model and query model according to the generic data structure and query functionality. Also, a control model is created to set up the benchmark environment. In order to apply the workload model to different scenarios easier, this workload model is designed to be domain independent and generic-construct-based. Finally, we validate the research model through the prototype implementation.參考文獻 1. Andersen, B. (2001). What is an ontology. Retrieved February 5, 2004, from http://www.ontologyworks.com/docs/what-is-ontology.pdf
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43. Tempich, C., & Volz, R. (2003). Towards a benchmark for Semantic Web reasoners - an analysis of the DAML ontology library. Proceedings of the 2nd International Workshop on Evaluation of Ontology-based Tools (EON2003), Sanibel Island, Florida, USA.
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46. Weißenberg, N., & Gartmann, R. (2003). Ontology Architecture for Semantic Geo Services for Olympia 2008. In: Bernard, L., A. Sliwinski and C. Senkler (Eds). Münsteraner GI-Tage, Münster. IfGIprints 18. 267-283.
47. Weinberger, H., Te’eni, D., & Frank, A. J. (2003). Ontologies of Organizational Memory as a Basis for Evaluation. 11th ECIS`03 European Conference on Information Systems, Naples, Italy.
48. Wache, H., Vögele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, H., & Hübner, S. (2001). Ontology-Based Integration of Information - A Survey of Existing Approaches. Proceedings of the IJCAI-01 Workshop: Ontologies and Information Sharing, 108-117.
49. Weiss, S. (1997). Glossary for Information Retrieval. Retrieve February 22, 2004, from http://www.cs.jhu.edu/~weiss/glossary.html
50. YoshiKawa, M., & Amagasa, T. (2001). XRel: A path-based approach to storage and retrieval of XML documents using relational databases. ACM Transactions on Internet Technology, 1(1), 110-141.描述 碩士
國立政治大學
資訊管理研究所
91356013
92資料來源 http://thesis.lib.nccu.edu.tw/record/#G0913560131 資料類型 thesis dc.contributor.advisor 諶家蘭 zh_TW dc.contributor.advisor Seng,Jia Lang en_US dc.contributor.author (作者) 林玫儀 zh_TW dc.contributor.author (作者) Lin,Mei Yi en_US dc.creator (作者) 林玫儀 zh_TW dc.creator (作者) Lin,Mei Yi en_US dc.date (日期) 2003 en_US dc.date.accessioned 18-九月-2009 14:34:30 (UTC+8) - dc.date.available 18-九月-2009 14:34:30 (UTC+8) - dc.date.issued (上傳時間) 18-九月-2009 14:34:30 (UTC+8) - dc.identifier (其他 識別碼) G0913560131 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/35259 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 資訊管理研究所 zh_TW dc.description (描述) 91356013 zh_TW dc.description (描述) 92 zh_TW dc.description.abstract (摘要) 隨著網際網路和企業內部網路的盛行，異質資訊整合成為電子化企業中一個重要的議題，在網路上進行異質資訊整合涉及許多不同新的資訊技術，目前已經有些研究試圖利用延伸標記語言以及本體論當作中介技術來整合異質資訊，為了有效管理企業內的資訊，我們需要一個績效評估模型來衡量異質資訊整合的效能。在本研究中，我們提出了一個在異質資訊整合中運用延伸標記語言及本體論的績效評估工作量模型，並且建立了一個工作量產生器雛形；本研究的目標是希望發展出一個結合延伸標記語言及本體論的工作量模型，以測試在電子化企業中的異質資訊整合是否能整合不同的資訊模型，並且從這些資訊模型中衍生出語意，此工作量模型包含了延伸標記語言與本體論的資料模型與查詢模型，它們是依照延伸標記語言與本體論學名式的資料結構與查詢功能所制訂的，此外，控制模型則定義了績效評估執行環境中所需設定的變數，為了讓此工作量模型能具可攜性和延展性，以便輕易地應用在不同的領域情境中，本研究採取學名結構式且使用者定義、領域獨立的設計方法，最後，我們利用雛形實作來驗證本研究所提出的研究方法。 zh_TW dc.description.abstract (摘要) With the popularity of Internet/Intranet, heterogeneous information integration becomes a hot IT topic in electronic business (EB) field. Heterogeneous information integration on the Web involves a number of new techniques. There have been research projects applying XML and ontology as mediated techniques to consolidate heterogeneous information. In order to manage and use information more effectively within the enterprise, a benchmark used to evaluate the mechanism of heterogeneous information integration is needed. In this research, we develop a XML and ontology benchmark workload model in heterogeneous information integration, and build a workload generation prototype. The objective of this research is to develop a workload model combines XML and ontology to test whether the heterogeneous information integration system under EB environment can overcome the diverse formats of content and derive meaning from this content. The workload model consists of XML and ontology data model and query model according to the generic data structure and query functionality. Also, a control model is created to set up the benchmark environment. In order to apply the workload model to different scenarios easier, this workload model is designed to be domain independent and generic-construct-based. Finally, we validate the research model through the prototype implementation. en_US dc.description.tableofcontents Chapter 1. Introduction 11.1. Research Motivation 11.2. Research Problem 21.3. Research Objective 31.4. Research Flow 31.5. Organization of Thesis 6Chapter 2. Literature Review 72.1. XML Query Capability 72.2. XML Benchmarks 102.2.1. XMark 112.2.2. XMach-1 132.2.3. XOO7 152.3. XML Benchmarks Comparison 182.4. Ontology 202.4.1. Ontology and Information Integration 202.4.2. Ontology and Reasoning 212.4.3. Ontology and Benchmark 24Chapter 3. Research Method 263.1. Research Structure 263.2. Research Model 283.3. XML Data Model 283.4. XML Query Model 313.4.1. Exact Match 333.4.2. Joins 343.4.3. Regular Path Expressions 363.4.4. Document Construction 373.4.5. Ordered Access 383.4.6. Sorting 393.4.7. Missing Elements 403.4.8. Text Search 413.4.9. Data-type Cast 423.4.10. Function Application 423.5. Ontology Data Model 443.6. Ontology Query Model 463.7. Test Database Generation 493.8. Control Model 533.9. Performance Metrics 54Chapter 4. Prototype Implementation 574.1. Prototype Platform and Architecture 574.2. Experimental Design 594.3. Prototype Functions 644.3.1. Data Loader 654.3.2. Query Generator 674.3.3. Scheduler 714.3.4. Result Collector 72Chapter 5. Research Discussions and Limitations 745.1. Research Implications 745.2. Research Limitations 76Chapter 6. Conclusions and Future Research Directions 786.1. Summary 786.2. Future Research Directions 79References 81Appendix A: Global Schema 85Appendix B: Relations in Microsoft SQL Server 88Appendix C: Schemas in Tamino XML Server 90 zh_TW dc.format.extent 106499 bytes - dc.format.extent 97938 bytes - dc.format.extent 158399 bytes - dc.format.extent 459773 bytes - dc.format.extent 479063 bytes - dc.format.extent 563467 bytes - dc.format.extent 631295 bytes - dc.format.extent 879310 bytes - dc.format.extent 499923 bytes - dc.format.extent 469631 bytes - dc.format.extent 499926 bytes - dc.format.extent 576772 bytes - dc.format.mimetype application/pdf - dc.format.mimetype application/pdf - dc.format.mimetype application/pdf - dc.format.mimetype application/pdf - dc.format.mimetype application/pdf - dc.format.mimetype application/pdf - dc.format.mimetype application/pdf - dc.format.mimetype application/pdf - dc.format.mimetype application/pdf - dc.format.mimetype application/pdf - 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/#G0913560131 en_US dc.subject (關鍵詞) 延伸標記語言 zh_TW dc.subject (關鍵詞) 本體論 zh_TW dc.subject (關鍵詞) 異質資訊整合 zh_TW dc.subject (關鍵詞) 績效評估 zh_TW dc.subject (關鍵詞) 工作量模型 zh_TW dc.subject (關鍵詞) XML en_US dc.subject (關鍵詞) Ontology en_US dc.subject (關鍵詞) Heterogeneous Information Integration en_US dc.subject (關鍵詞) Benchmark en_US dc.subject (關鍵詞) Workload Model en_US dc.subject (關鍵詞) Performance Evaluation en_US dc.title (題名) A Workload Model on the Use of XML and Ontology in Benchmarking Heterogeneous Information Integration zh_TW dc.title (題名) 異質資訊整合中運用XML與Ontology之績效評估模型之研究 zh_TW dc.type (資料類型) thesis en dc.relation.reference (參考文獻) 1. Andersen, B. (2001). What is an ontology. Retrieved February 5, 2004, from http://www.ontologyworks.com/docs/what-is-ontology.pdf zh_TW dc.relation.reference (參考文獻) 2. Arasu, A., Cho, J., Garcia-Molina, H., Paepcke, A., & Raghavan, S. (2001). Searching the Web. ACM Transactions on Internet Technology, 1(1), 2–43. zh_TW dc.relation.reference (參考文獻) 3. Böhme, T., & Rahm, E. (2001). XMach-1: A Benchmark for XML Data Management. Proceedings of German database conference BTW2001, Oldenburg, Germany, 264-273. zh_TW dc.relation.reference (參考文獻) 4. Böhme, T., & Rahm, E. (2003). Multi-User Evaluation of XML Data Management Systems with XMach-1. Lecture Notes in Computer Science (LNCS), 2590, 148-159. zh_TW dc.relation.reference (參考文獻) 5. Bos, B. (1997). The XML Datamodel. Retrieved January 30, 2004, from http://www.w3.org/XML/Datamodel.html zh_TW dc.relation.reference (參考文獻) 6. Beech, D., Malhotra, A., & Rys, M. (1999). A Formal Data Model and Algebra for XML. W3C XML Query working group note. zh_TW dc.relation.reference (參考文獻) 7. Bray, T., Paoli, J., Sperberg-McQueen, C. M., & Maler, E. (2000). Extensible Markup Language (XML) 1.0 (Second Edition). Retrieved January 30, 2004, from http://www.w3.org/TR/REC-xml zh_TW dc.relation.reference (參考文獻) 8. Baader, F., Horrocks, I., & Sattler, U. (2003). Description logics as ontology languages for the semantic web. In Dieter Hutter and Werner Stephan (Ed.), Festschrift in honor of Jörg Siekmann, Lecture Notes in Artificial Intelligence. Springer. zh_TW dc.relation.reference (參考文獻) 9. Chamberlin, D., Fankhauser, P., Marchiori, M., & Robie, J. (2003). XML Query Requirements. Retrieved January 8, 2004, from http://www.w3.org/TR/xquery-requirements/ zh_TW dc.relation.reference (參考文獻) 10. Cui, Z., Jones, D., & O’Brien, P. (2001). Issues in ontology-based information integration. Proceedings of IJCAI-01 Workshop on E-Business & the Intelligent Web. zh_TW dc.relation.reference (參考文獻) 11. 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