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系統識別號 U0002-3006200913363700
中文論文名稱 採用本體論及推論於物流領域之研究-以EPC規範為基礎
英文論文名稱 Adopting Ontology and Reasoning on Logistic – based on EPC Standard
校院名稱 淡江大學
系所名稱(中) 資訊管理學系碩士班
系所名稱(英) Department of Information Management
學年度 97
學期 2
出版年 98
研究生中文姓名 許婉玉
研究生英文姓名 Wan-Yu Hsu
學號 696630119
學位類別 碩士
語文別 中文
口試日期 2009-06-07
論文頁數 61頁
口試委員 指導教授-劉艾華
委員-趙涵捷
委員-黃承龍
委員-侯永昌
中文關鍵字 本體論  Jess  自動推論  Logistics  EPC 
英文關鍵字 Ontology  Jess  Automated Reasoning  Logistic  EPC 
學科別分類 學科別社會科學管理學
學科別社會科學資訊科學
中文摘要 隨著資訊科技的進步,RFID產業更是蓬勃發展,其應用於物流作業之比率也日益提升,WalMart、Metro、Tesco等國際性零售商更率先導入RFID技術,並以EPC (Electronic Product Code) 編碼做為物流作業中棧板與物流箱之識別碼以輔助於物流作業中資訊之整合性,但伴隨著企業組織規模日益增加,物流中複雜與繁複的作業,可能使企業因人為疏忽而造成莫大的損失。因而本研究欲以EPC 標準應用於物流領域為對象,透過建立其本體論以達成語意間資訊整合之目的,針對物流領域中不易察覺或是領域專家所提出之問題,採用專家系統發展語言Jess (Java Expert System Shell)撰寫規則,讓機器能理解資料之涵義進而進行推論,以檢視物流作業中可能因作業上之疏忽而導致資料錯誤之情形,減少企業因資料錯誤而所投入檢查作業的時間、人力與成本,進而提升物流整體之效率。
英文摘要 After fast development, RFID technology is now being widely adopted, especially in logistic. International retailers, such as WalMart, Metro and Tesco, lead in adopting RFID technology and commonly employ EPC (Electronic Product Code) as the identifier of objects such as logistic pallets and containers to assist in integrating the information produced by logistic operations.
However, the complicated logistic procedure can still embed hidden errors caused by operational overlook or human negligence. Specifically handling these unusual errors requires extra efforts that may cause major financial losses.
This research presents the architecture of a logistic reasoning framework that applied the EPC global standard in the logistic domain. The architecture is supported by a logistic ontology which combines semantic information integrated by Protégé with logistic rules developed by Jess, an expert system development programming language. This implementation can be installed in logistic systems capable of reasoning while understanding the meaning of logistic operation data. It is anticipated that this approach should enhance the efficiency of the whole logistic operation and the time and cost of discovering potential problems can be reduced.
論文目次 目錄
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究問題與目的 2
1.3 研究架構 2
第二章 文獻探討 5
2.1 本體論(Ontology) 5
2.1.1 本體論概述 5
2.1.2 本體論組成要素 6
2.2 Jess (Java Expert System Shell) 6
2.3 EPC (Electronic Product Code) 7
2.3.1 EPC規格結構 8
2.4 物流(Logistic)概述 10
第三章 研究架構 19
3.1 建置本體論 20
3.1.1 建立本體論類別 20
3.1.2 建立類別屬性及關聯 21
3.1.3 建立實例與Concept Mapping 24
第四章 Jess推論引擎與物流規則 28
4.1 Jess語言 29
4.2 整合Jess與Protégé 30
4.3 物流偵錯規則 33
4.3.1 規則介紹 34
第五章 實例探討 38
5.1 物流存在問題 38
5.2 物流情境套用規則 39
第六章 結論與未來研究方向 48
6.1 結論與研究貢獻 48
6.2 未來研究方向 49
參考文獻 50
附錄一、Protégé架構圖 52
附錄二、規則執行畫面 53

圖目錄
圖 1-1:研究流程 4
圖 2-1:規則引擎架構 7
圖 2-2:EPCIS Specification Framework Layers 8
圖 2-3:Event Types display by UML diagram 10
圖 2-4:Work Unit Class 13
圖 2-5:Event Class 15
圖 3-1:系統架構圖 19
圖 3-2:Protégé實作類別架構圖 21
圖 3-3:Concept Mapping概要 25
圖 3-4:Example of observation concept mapping 26
圖 3-5:Example of aggregation concept mapping 27
圖 4-1:Jess Function語法 29
圖 4-2:Example of Jess Function 30
圖 4-3:Jess Rule語法 30
圖 4-4:Example of Jess Rule 30
圖 4-5:A Jess console window as a Protégé tab 31
圖 4-6:Jess Fact 32
圖 4-7:Jess Rules 33
圖 4-8:Jess Functions 33
圖 5-1:物流instance 39
圖 5-2:ReasonCondition類別(規則三) 43

表目錄
表 2-1:EPCIS Event Description 9
表 2-2:Work Unit Class屬性 13
表 2-3:Event Class欄位內相關之Class結構 14
表 2-4:Event Class屬性 15
表 2-5:Temporal Relation of Events 16
表 2-6:物件於物流中之狀態 17
表 2-7:Logistics Class屬性 17
表 3-1:非EPC導向類別新增屬性 23
表 3-2:EPC導向類別新增屬性 24
表 5-1:Product相關資料 40
表 5-2:物流箱相關資料 41
表 5-3:ReasonCondition預設值與其階層關聯 42
表 5-4:ReasonCondition類別表(規則三) 43
表 5-5:物流相關資料 43
表 5-6:ReasonCondition類別表(規則四) 44
表 5-7:ReasonCondition類別表(規則五) 45
表 5-8:ReasonCondition類別表(規則六) 45
表 5-9:Example of valid temperature 46
參考文獻 1. 林英潔,採用本體論及推論於資料語意偵錯之研究,淡江大學資訊管理學系碩士論文,2007。
2. 盧冠廷,以本體論協同式建構與分享領域知識之研究,淡江大學資訊管理學系碩士論文,2006。
3. 中華民國物流協會,http://www.talm.org.tw
4. 林林弘,RFID 資訊平台-EPC Network Architecture 介紹,2008。
5. Beneventano, D., Bergamaschi, S., Guerra, F. and Vincini, M., “The MOMIS approach to information integration,” ICEIS, 2001.
6. Berners-Lee, T., Hendler, J. and Lassila, O., “The Semantic Web,” Scientific America, 2001.
7. Chandrasekaran, B., Josephson, J. R. and Benjamins, R., “What Are Ontologies, and Why Do We Need Them,” IEEE Intelligent Systems, Vol. 14, No. 1, 1999, pp. 20-26.
8. Doerr, M., Hunter, J. and Lagoze, C., “Towards a Core Ontology for Information Integration,” Journal of Digital information, 2003.
9. EPCglobal, “EPC Information Services (EPCIS) Version 1.0.1 Specification,” 2007
10. Eriksson, H., “JessTab Manual --- Integration of Protégé and Jess,” http://www.ida.liu.se/~her/JessTab, Linköping University, 2004.
11. Eriksson, H., “Using JessTab to Integrate Protégé and Jess,” IEEE Intelligent
12. Friedman-Hill, E., “Jess in Action:Rule-Based Systems in Java,” Manning Publications , 2003
13. Friedman-Hill, E., “Jess, The Rule Engine for the Java Platform,” http://herzberg.ca.sandia.gov/jess/, Nov. 5, 2008.
14. Gomez-Perez, A., “Ontological Engineering: A State of The Art,” Expert Update, Autumn 1999, Vol. 2, No. 3, pp 33-43.
15. Gruber, T. R., “A Translation Approach to Portable Ontology Specification,” Knowledge Acquisition, Vol. 5, 1993, pp. 199-220.
16. Gruber, T. R., “Towards Principles for the Design of Ontologies Used for Knowledge Sharing,” International Journal of Human-Computer Studies, Vol. 43, No. 5-6, 1995, pp. 907-928.
17. GS1 EPCglobal (http://www.epcglobalinc.org)
18. Lian, P., Park, D. W. and Kwon, H. C., “Design of Logistics Ontology for Semantic Representing of Situation in Logistics,” Digital Media and its Application in Museum & Heritages, Second Workshop on Dec.10-12, 2007, pp.432-437.
19. Lim, S. S., Park, D. W. and Kwon, H. C., “Ontology-based Semantic Representation of Context in Port Supply Chain,” Sixth International Conference on Advanced Language Processing and Web Information Technology Systems, 2007, pp. 446-451.
20. Negnevitsky, M., “Artificial Intelligence-A Guide to Intelligent Systems,” Addison Wesley, 2005.
21. Noy, N. F. and McGuinness, D. L., “Ontology Development 101: A Guide to Creating Your First Ontology,” Stanford Knowledge Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880 2001.
22. Noy, N. F., “Semantic Integration: A Survey of Ontology-based Approaches,” SIGMOD Record, Vol. 33, No. 4, 2004.
23. Noy, N. F., Sintek, M., Decker, S., Crubézy, M., Fergerson, R. W. and Musen, M.A., “Creating Semantic Web Contents with Protégé-2000,” IEEE Intelligent Systems, Vol. 16, Iss. 2, 2001, pp. 60-71.
24. Noy, N. J. and Hafner, C. D., “The State of the Art in Ontology Design,” AI Magazine, 1997, pp.53-74.
25. OWL-Time (http://www.w3.org/TR/owl-time/)
26. Park, D. W. and Kwon, H. C., “RFID-based Logistics Information Service with Semantic Web,” IFIP International Federation for Information Processing, Vol.188, 2005, pp.177-185.
27. Park, D. W., Lee, G. T. and Kwon, H. C., “Ontological Approach to Integration of Event-Centric Logistics Information into EPC Network,” IEEE International Workshop on Semantic Computing and Applications, 2008, pp.1-8.
28. Roberts, C.M., “Radio frequency identification (RFID),” Computers & Security, 2006.
29. Srivastava, B., “Radio frequency ID technology: The next revolution in SCM,” Business Horizons, Vol. 47, No. 6, 2004, pp.60-68.
30. The Protégé Project, http://protege.stanford.edu
31. Wache, H., Vogele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, H. and Hubner, S., “Ontology-based integration of information - a survey of existing approaches,” Proceedings of IJCAI-01 Workshop: Ontologies and Information Sharing, 2001.
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