應用人工智慧建構法規制定決策支援系統－以某大學教育行政法規制定為例

The Development of an Administrative Regulations Support System with Artificial Intelligence: A Case with One University's Educational Administrative Regulations

10.6382/JIM.200907.0111

蘇國瑋(Kuo-Wei Su)；許蒞彥(Li-Yen Shue)；吳旻霙(Min-Ying Wu)；黃博信(Po-Hsin Huang)

人工智慧 ； 本體論 ； 教育行政法規 ； 決策支援系統 ； Artificial Intelligence ； Ontology ； Educational Administrative Regulation ； Decision Support System

資訊管理學報

16卷3期（2009 / 07 / 01）

111 - 141

繁體中文

一般法規草擬時在結構上及內容的安排上，最易發生錯誤的情形有以下三種：結構不完整是最常見的情形，它極易造成閱讀及檢索上的困擾。內容不一致也是另一常見的情形，使得前後的法規互相矛盾。術語不統一也是另一常見的情形，造成法規含混或模稜兩可的情形，導致使用者對法規原意的誤解或混淆。本研究探討如何運用索引典(Thesaurus)、UML(Unified Modeling Language)、OWL(Web Ontology Language)及人工智慧中的本體論技術，發展一決策支援平台，輔助教育行政法規的草擬。本研究分析教育行政法規的結構知識及語句關係，並應用索引典的編制技術將屬於自然語言的條文，以結構化的方式選擇詞彙和建立詞彙體系。利用UML建構一概念模式(Conceptual Model)，將半結構化的法規文件轉成結構化的圖形，呈現條文和條文間，以及法規和法規間的關連。應用本體論方法論(Ontology Methodology)，建立詞彙體系、法規條文間的關連，以Protégé為實作工具，整合為描述法規起草基本知識的OWL本體論知識庫。此系統的目的是在法規起草的過程中提供協助，避免一個法規內部各種規則之間以及新法規與現有法規之間的相互衝突，以改善制定法規上的效率及品質。

Generally, during the process of drawing up regulation, one would find one of the three problems: structure of clauses is incomplete, content is inconsistent, terms are not unified. Regulations with these problems will lead to the puzzlement at later stage, and will prove very efficient. It is extremely troublesome for users to read and search with these problems in regulations, because they could cause the regulation to be ambiguous or equivocal, and could produce an irreconcilable conflict between regulations. It could also lead to user's misunderstanding or obscurity to the original meaning of the regulation. This research applies Thesaurus, UML, OWL and the Ontology to develop a decision support framework for assisting the development of educational administrative regulations. This research applies Ontology to analyze the knowledge concepts of the educational administrative regulation and identifies the relationship among regulation sentences. We use Thesaurus to build a classified hierarchy for knowledge items, UML to further modify the semi-structured regulations into a structural form, and Ontology to develop knowledge hierarchy of the structural form. The Ontology language which we use is OWL. The system is capable of assisting regulation developers to reduce those problems above.

1. Alan J.,Marin P.,Dragan G.(2007).Ontologies in Medical Knowledge Representation.Information Technology Interfaces, 29th International Conference, IEEE
2. Alexander, B.,Tom van, E.,Radboud, W.(2003).Using ontologies for comparing and harmonizing legislation.Proceedings of the 9th international conference on Artificial intelligence and law,Scotland, United Kingdom:
3. Anbarasan, A.,Uma, G.V.,Karunakaran, K.(2007).Construction of ontology based intelligent decision support system used for water resources.Asia Journal of Information Technology,6(1),105-111.
4. ANSI/NISO(1993).Guidelines for the Construction, Format, and Management of Monolingual Thesauri.Bethesda, Maryland, U.S.A.:Niso Press.
5. Bryan, N.(1981).Expert Systems for Lawyers.Computers and Law,29,2.
6. Buchanan, B.,Headrick, T. E.(1970).Some speculation about Artificial Intelligence and legal reasoning.Stanford Law Review,23,40-62.
7. Bunge, M.(1977).Ontology I: The Furniture of the World.Treatise on Basic Philosophy,3
8. Calvanese, D.,Catarci, T.,Lenzerini, M.,Santucci, G.(2002).The multilingual thesaurus of LAURIN.Knowledge representation and retrieval,27,83-90.
9. Cedric G.(2007).University of Karlsruhe.
10. Chang-S. L.,Mei-H. W.,Jui-J. C.(2002).Ontology-based intelligent decision support agent for CMMI project monitoring and control.International Journal of Approximate Reasoning,48(1),62-76.
11. Corcho, O.,Fernandez L. M.,Gomez P. A.(2003).Methodologies, tools and languages for building ontologies. Where is their meeting point?.Data & Knowledge Engineering,46(1),41-64.
12. Dejan L.,Rok R.,Marko B.,Marjan K.(2007).Agent Oriented Approach for Integration of BI Systems.Information Technology Interfaces, 29th International Conference, IEEE
13. 8th International Protégé Conference
14. Fernández, M. L.(1999).Overview Of Methodologies For Building Ontologies.Proceedings of the Workshop on Basic Ontologies and Problem-Solving Methods, International Joint Conference on AI (IJCAI-99),Sweden:
15. Gomez-Perez, A.,Corcho, O.(2002).Ontology Languages for the Semantic Web.IEEE Intelligent Systems,17(1),54-60.
16. Gordon T. F.(2003).On the Need for Standard Document Formats for Egovernance Applications of Legal Knowledge-Based Systems.Workshop on Artificial Intelligence to Support eGovernment,Cambridge, U.K.:
17. Grosso, W. E.,Eriksson, H.,Fergerson, R. W.,Gennari, J. H.,Tu, S.W.,Musen, M. A.(1999).SMI Technical Report, SMI-1999-0801SMI Technical Report, SMI-1999-0801,未出版
18. Gruber, T. R.(1993).A translation approach to portable ontology Specifications.Knowledge Acquisition,5(2),199-220.
19. Gruninger, M.,Fox, Mark S.(1995).Methodology for the Design and Evaluation of Ontologies.Proceedings of the Workshop on Basic Ontological Issues in Knowledge Sharing (IJCAI-95).
20. Guarino, N.(1998).Formal Ontology and Information Systems.Proceeding of FOIS'98,6(8),3-15.
21. ISO(1986).Guidelines for the establishment and development of monolingual thesauri.International Organization for Standardization.
22. Knublauch, H.,Fergerson, Ray W.,Noy, Natalya F.,Musen, Mark A.(2004).The Protégé OWL Plugin: An Open Development Environment for Semantic Web Applications.Third International Semantic Web Conference (ISWC-2004),Hiroshima, Japan:
23. Kordelaar, P.(1993).Supporting the drafting of a new DUTCH national assistance act with expertise.Proceedings 6th International Conference JURIX '93 Legal Knowledge Based Systems
24. Matt W.(2006).Integrating Ontology & Argumentation in a Medical Domain.
25. Miers D. R.,Page, A. C.(1990).Legislation.London:Sweet & Maxwell.
26. Noy, N. F.,Fergerson, R. W.,Musen, M. A.(2000).The knowledge model of Protégé-2000: Combining interoperability and flexibility.Proceedings of the 2th International Conference on Knowledge Engineering and Knowledge Management (EKAW'2000),France:
27. Noy, N. F.,Hafner, C. D.(1998).Representing Scientific Experiments: Implications for Ontology Design and Knowledge Sharing.
28. Noy, N. F.,McGuinness, D. L.(1998).Ontology Development 101: A guide to creating your first ontology.Knowledge Systems Laboratory Tech Report KSL-01-05.
29. Samina R. A.,Syed SR. A.,Sajjad. H.,Mike S.(2007).Ontology-based Modeling of Clinical Practice Guidelines: A Clinical Decision Support System for Breast Cancer Follow-up Interventions at Primary Care Settings.Halifax, Canada:Faculty of Computer Science, Dalhousie University.
30. Simon, C.(1980).Legal Diagnostics.Computers and Law,25,13-15.
31. welcome to Protégé
32. Sure, Y.,Staab, S.,Studer, R.(2002).Methodology for Development and Employment of Ontology based Knowledge Management Applications.SIGMOD Record,31(4),18-23.
33. On-To-Knowledge Methodology-Final Version
34. Thornton, G. C.(1987).Legislative Drafting.London:Butterworth & Co. Ltd.
35. Tiscomia, D.(2001).Ontology-driven access to legal information.Proceedings of the 12th International Workshop on Database and Expert Systems Applications.
36. Toulmin, S.(1958).The Uses of Argument.Cambridge:Cambridge University Press.
37. Trevor J. M.,Pepijn R. S.(1997).Ontologies in legal information systems|the need for explicit specifications of domain conceptualizations.Proceedings of the 6th international conference on Artificial intelligence and law,Melbourne, Australia, ACM:
38. Tseng,Y. H.(2001).Fast co-occurrence thesaurus construction for Chinese news.IEEE Systems, Man, and Cybernetics,2,853-858.
39. Tuzovsky, A. F.,Bubnov, D.,Kozlov, S.(2003).Multilingual Tresauri Development and Application.Proceedings of the 7th Korea-Russia International Symposium on Science and Technology,Korea:
40. UNESCO(1981).The UNISIST Guidelines for the Establishment and Development of Monolingual Thesauri.Paris:UNESCO.
41. Uschold, M.,Gruninger M.(1996).Ontologies: Principles, Methods and Applications.Knowledge Engineering Reviews,11(2),93-137.
42. Uschold, M.,King, M.(1995).Towards a Methodology for Building Ontologies.Workshop on Basic Ontological Issues in Knowledge Sharing, International Joint Conference on AI (IJCAI-95),Canada:
43. Van Engers, T.M.,Boekenoogen, M. R.(2003).Improving legal quality: an application report.Proceedings of the 9th international conference on Artificial intelligence and law Artificial intelligence and law,Scotland, United Kingdom:
44. Van Engers, T.M.,Gerrits R.,Boekenoogen M.,Glassée E.,Kordelaar P.(2001).POWER using UML OCL for modeling legislation-an application report.Proceedings of the 8th international conference on Artificial intelligence and law,St. Louis, Missouri, United States:
45. Van Engers, T.M.,Glassée, E.(2001).Facilitating the Legislation Process Using a Shared Conceptual Model.IEEE Intelligent systems.
46. Van Engers, T.M.,Kordelaar, P.J.M.,den Hartog, J.,Glassée E.(2000).Databases and Expert Systems Applications.Greenwich London:
47. William, T.,David, M.(1987).How to do things with rules.London:Weidenfeld and Nicolson.
48. Wim, V.(2000).Computer-assisted legislative drafting in the Netherlands: the LEDA-system.A National Conference on Legislative Drafting in the Global Village,Ottawa, Canada:
49. Wim, V.,Egon V.(1993).LEDA: A Semi-intelligent legislative drafting-support system.Proceedings 6th International Conference JURIX '93, Legal Knowledge Based Systems
50. Yi, Y.,Jacques, C.(2006).From the OntoBayes Model to a Service Oriented Decision Support System.Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA), IEEE Computer Society
51. Zeleznikow, J.,Stranieri, A.(2001).An Ontology for the Construction of Legal Decision Support Systems.Second International Workshop on Legal Ontologies.
52. 立法院法制局(2004)。立法原理與制度。
53. 立法院智庫
54. 李惠宗(2004)。教育行政法要義。臺北:元照有限公司。
55. 周武榮(1996)。法令制作實務。臺北:書泉。
56. 張芳全(2000)。教育政策立法。臺北:五南圖書出版公司。
57. 張德銳(2000)。教育行政研究。臺北:五南圖書出版公司。
58. 梁永興、陳永(2004)。地方立法範例與法制工作手冊。台北市政府法規委員會。
59. 農業科學資料中心(1994)。索引典理論與實務。農業科學資訊服務中心。
60. 臺北市政府秘書處(2005)。臺北市政府公文製作參考手冊。
61. 謝文全(2000)。學校行政。臺北:五南圖書出版公司。
62. 羅傳賢(2002)。立法程序與技術。臺北:五南圖書出版公司。

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