Please use this identifier to cite or link to this item: http://ena.lp.edu.ua:8080/handle/ntb/55246
Title: Сучасний підхід до моделювання та інженерії знань на основі повторно вживаних компонент
Authors: Кардаш, Я.
Affiliation: Львівський національний університет ім. Івана Франка
Bibliographic description (Ukraine): Кардаш Я. Сучасний підхід до моделювання та інженерії знань на основі повторно вживаних компонент / Я. Кардаш // Вісник Національного університету “Львівська політехніка”. — Львів : Видавництво Національного університету “Львівська політехніка”, 2005. — № 543 : Комп’ютерні науки та інформаційні технології. — С. 112–121. — (Моделювання процесів і систем).
Bibliographic description (International): Kardash Ia. Suchasnyi pidkhid do modeliuvannia ta inzhenerii znan na osnovi povtorno vzhyvanykh komponent / Ia. Kardash // Visnyk Natsionalnoho universytetu "Lvivska politekhnika". — Lviv : Vydavnytstvo Natsionalnoho universytetu "Lvivska politekhnika", 2005. — No 543 : Kompiuterni nauky ta informatsiini tekhnolohii. — P. 112–121. — (Modeliuvannia protsesiv i system).
Is part of: Вісник Національного університету “Львівська політехніка”, 543 : Комп’ютерні науки та інформаційні технології, 2005
Journal/Collection: Вісник Національного університету “Львівська політехніка”
Issue: 543 : Комп’ютерні науки та інформаційні технології
Issue Date: 1-Mar-2005
Publisher: Видавництво Національного університету “Львівська політехніка”
Place of the edition/event: Львів
Lviv
UDC: 681.3
Number of pages: 10
Page range: 112-121
Start page: 112
End page: 121
Abstract: Описано базований на моделі підхід до інженерії .знань. Проаналізовано методи розв’язання задач та онтології як повторновживані компоненти в моделюванні знань разом з підходами до моделювання CommonKADS та Protege. Розглянуто декілька формальних мов для представлення знань та нові ділянки для застосування інженерії знань з використанням повторно вживаних компонент.
Model-based approach to knowledge engineering is described. Problem-solving methods and ontologies as reusable components for knowledge modelling are analyzed with CommonKADS and Protege modelling frameworks for developing intelligent applications. Several formal languages of knowledge representation and new research areas for usage of knowledge engineering principles with reusable components are considered.
URI: http://ena.lp.edu.ua:8080/handle/ntb/55246
Copyright owner: © Національний університет “Львівська політехніка”, 2005
© Кардаш Я., 2005
URL for reference material: http://www.aifb.imi-karlsruhe.de/WBS/dfe/publications99.html
http://www.w3.ors/TR/rdf-schema/
http://www
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35. C.A. Miller. WORDNET: a lexical database for English. Communication of ACM, Nov. 1995, 38(11):39-41.
36. J. Bateman, B. Magnini, F. Rinaldi. The generalized upper model. In Proc. ofECAl’94 Workshop on Implemented Ontologies.
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39. D. Lenat, R. Guha. Representation and Inference in the Cyc Project. Readings, MA: Addison-Wesley, 1990.
40. R. MacGregor. Retrospective on Loom. Institute of Science Information. University of Southern California, 1999.
41. H. Chalupsky, R. MacGregor, T. Russ. PowerLoom Manual, ver. 3.0. Institute of Science Information, University of Southern California, 2003.
42. M. Kifer, G. Lausen, and J. Wu. Logical Foundations of Object-Oriented and Frame-Based Languages. Journal of the ACM 42 (1995): 741-843.
43. M. Genesereth and R. Fikes. Knowledge Interchange Format, ver. 3.0 Reference Manual. Tech. Rep. Logic-92-1, Logic Group, Computer Science Dept., Stanford University, 1992.
44. A. Farquhar, R. Fikes, and J. Rice. The Ontolingua Server: A Tool for Collaborative Ontology Construction. Tech. Rep. KSL-96- 26, Knowledge-System Laboratory, Stanford University, 1996.
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2. B. Chandrasekaran. AI, Knowledge, And the Quest for Smart Systems. IEEE Expert, December 1994, 9(6): 2-5.
3. V. Chandrasekaran. Generic Tasks in Knowledge-Based Reasoning: High-Level Building Blocks for Expert System Design. IEEE Expert, June 1986, l(3):23-29.
4. J. McDermott. Preliminary steps toward a taxonomy of problem-solving methods. /In Readings in Knowledge Acquisition and Learning, B.G. Buchanan, D.C. Wilkins, eds., Morgan Kaufmann, 1993, pp. 149-169.
5. T.R. Gruber. A translation approach to portable ontology specification. Knowledge Acquisition, 5:199-220, 1993.
6. R. Neches, R.Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, W. Swartout. Enabling Technology for Knowledge Sharing. A1 Magazine, 12(3), Fall 1991.
7. B. Chandrasekaran, T.R. Johnson, J.W. Smith. Task-structure analysis for knowledge modeling. Communications of the ACM, Sep. 1992, 35(9), pp. 124-137.
8. S. Marcus, ed. Automating Knowledge Acquisition for Expert Systems. Boston: Kluwer, 1988.
9. W. Grosso, H. Ericsson, R. Fergerson, J. H. Gennari, S.W. Ti, M. A. Musen. Knowledge modeling at the millennium (The design and evolution of Protege-2000). Proc. of 12th Workshop on Knowledge Acquisition, Modeling, and Management (KAW-99), Banff, Canada, 1999.
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11. Y. Gil and C. Paris. Towards Method-independent Knowledge Acquisition. Knowledge Acquisition 6(2): 163-178, 1994.
12. J. Blythe. Integrating expectations to support end users to acquire procedural knowledge. Proc. 17th IpGI. Joint Conf. on Artificial Intelligence (IJCAI-2001), Seattle, WA, August 2001.
13. A.T. Schreiber, B.J. Wielinga, R. de Hoog, J.M. Akkermans, and W. Van de Velde. CommonKADS: A comprehensive methodology for Knowledge-Based Systems Development. IEEE Expert, November/December 1994, 9(6):28-37.
14. G. Schreiber, H. Akkermans, A. Anjewierden, R. de Hoog, N. Shadbolt, W. Van de Velde, B. Wielinga. Knowledge Engineering and Management: The CommonKADS Methodology. Cambridge, MA: MIT Press, 2000.
15. F. Puppe. Knowledge Reuse among Diagnostic Problem-Solving Methods in the Shell-Kit D3. InVl J. Human-Computer Studies, 49:627-649, 1998.
16. httv://www. ddweb. de 17. P. Terpstra, G. van Heijst, B. Wielinga, and N. Shadbolt. Knowledge Acquisition Support through Generalized Directive Models. In J.M. David, J.P. Krivine, and R. Simmons, eds., Second Generation Expert Systems, Berlin: Springer-Verlag, 1993, pp.428-455.
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18. J. Angele, D. Fensel, D. Landes, and R. Studer. Developing Knowledge-Based Systems with MIKE. J. Automated Software Engineering, October 1998, 5(4):389-418.
19. N. Shadbolt, E. Motta, and A. Rouge. Constructing Knowledge-based Systems. IEEE Software, June 1993, 10(3):34-38.
20. M. Gaspari, E. Motta, A. Stutt. An Open Framework for Cooperative Problem Solving. IEEE Expert, 10(3):48-55, June 1995.
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30. R. Studer,* R. Benjamins, and D. Fensel Knowledge Engineering: Principles and Methods. Data and Knowledge Engineering 25(1998): 161-167.
31. V.R. Benjamins, D. Fensel. Editorial: Problem- Solving Methods. International Journal of Human-Computer Studies, 1998, 49(4): 305-317.
32. 11. V. Chandrasekaran, J. Josephson, V.R. Benjamins. Ontologies: what are they? Why do we need them? IEEE Intelligent Systems and Their Applications, 14(l):20-26, Jan/Feb 1999, Special Issue on Ontologies.
33. D.B. Lenat, R.V. Guha, K. Pittman, D. Pratt, M. Shepherd. CYC: toward program with common sense. Communications of ACM, Aug, 1990, 33(8):30-49.
34. D.B. Lenat. CYC: a large-scale investment in knowledge infrastructure. Communications of ACM, Nov 1995, 38(ll):33-38.
35. C.A. Miller. WORDNET: a lexical database for English. Communication of ACM, Nov. 1995, 38(11):39-41.
36. J. Bateman, B. Magnini, F. Rinaldi. The generalized upper model. In Proc. ofECAl’94 Workshop on Implemented Ontologies.
37. N. Fridman Noy and C.D. Hafner. The state of the art in ontology design: a survey and comparative review. AI Magazine, Fall 1997:53-74.
38. N. Fridman Noy. Knowledge Representation for Intelligent Information Retrieval in Experemental Sciences. PhD Thesis, College of Computer Science, Northeastern University, Boston, MA, USA, 1997.
39. D. Lenat, R. Guha. Representation and Inference in the Cyc Project. Readings, MA: Addison-Wesley, 1990.
40. R. MacGregor. Retrospective on Loom. Institute of Science Information. University of Southern California, 1999.
41. H. Chalupsky, R. MacGregor, T. Russ. PowerLoom Manual, ver. 3.0. Institute of Science Information, University of Southern California, 2003.
42. M. Kifer, G. Lausen, and J. Wu. Logical Foundations of Object-Oriented and Frame-Based Languages. Journal of the ACM 42 (1995): 741-843.
43. M. Genesereth and R. Fikes. Knowledge Interchange Format, ver. 3.0 Reference Manual. Tech. Rep. Logic-92-1, Logic Group, Computer Science Dept., Stanford University, 1992.
44. A. Farquhar, R. Fikes, and J. Rice. The Ontolingua Server: A Tool for Collaborative Ontology Construction. Tech. Rep. KSL-96- 26, Knowledge-System Laboratory, Stanford University, 1996.
45. D. Fensel, J. Angele, and R. Studer. The Knowledge Acquisition and Representation Language KARL. IEEE Transaction on Knowledge and Data Engineering 10(4):527-550, 1998.
46. D. Landes. DesignKARL - A Language for the Design of Knowledge-based Systems. Proc. 6th Int’l Conf. on Software Engineering and Knowledge Engineering (SEKE-94), Jurmala, Lettland, 1994.
47. E. Motta. Reusable Components for Knowledge Modelling. Amsterdam: I OS Press, 1999.
48. V.K. Chaudhri, A. Farquhar, R. Fikes, P.D. Karp, and J.P. Rice. Open Knowledge Base Connectivity.2.0.3. AI Center, SRI International and KS Laboratory, Stanford University, 1998.
49. G. Schreiber, M. Grubezy, M. Musen. A Case Study in Using Protege-2000 as a Tool for CommonKADS.
50. D. Fensel, E. Motta, V.R. Benjamins, S. Decker, M. Gaspari, R. Groenboom, W. Grosso, M. Musen, E. Motta, E. Plaza, G. Schreiber, R. Studer, and B. Wielinga. The Unified Problemsolving Method development Language UPML. ESPIRITproject number 27169,1BR0W3, Deliverable 1.1, Chapter 1. http://www.aifb.imi-karlsruhe.de/WBS/dfe/publications99.html.
51. M. Crubezy, M. Musen, E. Motta, W. Lu. Configuring Online Problem-Solving Resourses with the Internet Reasoning Service. IEEE Intelligent Systems and Their Applications, Mar/Apr 2003.
52. W3C. RDF Vocabulary Description Language, ver. 1.0: RDF-schema. http://www.w3.ors/TR/rdf-schema/.
53. W3C. Resource Description Framework (RDF). http://www. w3. ore./RDF.
Content type: Article
Appears in Collections:Комп'ютерні науки та інформаційні технології. – 2005. – №543



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