Semantic Knowledge Engineering - Main Concepts

Nalepa, G. J.

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Semantic Knowledge Engineering - Main Concepts

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Nalepa G. J.

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Podstawowe założenia podejścia semantycznej inżynierii wiedzy

Języki publikacji

Abstrakty

The Semantic Knowledge Engineering approach aims at providing new design and analysis methods for rule-based intelligent systems. It uses the XTT2 knowledge representation for building modularized rule bases that form decision networks. The representation is formalized, thus allowing for the anayslys of the designed system with respect to its qualitative properties. The visual design is supported by practical tools.

Celem podejścia semantycznej inżynierii wiedzy jest dostarczenie nowych metod projektowania i analizy systemów inteligentnych wykorzystujących reprezentację regułową. Podejście to bazuje na metodzie XTT2 służącej do budowania na poziomie logicznym zmodularyzowanej bazy reguł stanowiącej sieć wnioskującą. Metoda ta jest sformalizowana, co pozwala na przeprowadzenie analizy systemu pod kątem jego jakości.

Słowa kluczowe

knowledge-based systems rules reasoning semantic knowledge engineering

systemy z bazą wiedzy systemy regałowe

Wydawca

Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów PIAP

Czasopismo

Pomiary Automatyka Robotyka

Rocznik

2011

Tom

R. 15, nr 12

Strony

236--238

Opis fizyczny

Bibliogr. 22 poz.

Twórcy

autor

Nalepa G. J.

AGH University of Science and Technology, Department of Automatics, gjn@agh.edu.pl

Bibliografia

1. Tadeusiewicz R. (2011): Introduction to intelligent systems, [in:] Wilamowski B.M., Irwin J. D. (eds.): Intelligent systems, The Electrical Engineering Handbook Series. The Industrial Electronics Handbook, 1-1-1-12, Boca Raton, London, New York, CRC Press Taylor & Francis Group, second edition.
2. Giurca A., Gasevic D., Taveter K.(eds.) (2009): Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches, Information Science Reference, Hershey, New York.
3. Nalepa G.J. (2009): Languages and Tools for Rule Modeling, [in:] Giurca A., Gasevic D., Taveter K. (eds.): Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches, IGI Global, Hershey, New York, 596-624.
4. Ligęza A., Nalepa G.J. (2011): A study of methodological issues in design and development of rule-based systems: proposal of a new approach, “Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery” 1(2), 117-137.
5. Nalepa G.J. (2011): Semantic Knowledge Engineering. A Rule-Based Approach, Wydawnictwa AGH, Kraków.
6. Nalepa G., Ligęza A., Kaczor K. (2011): Overview of Knowledge Formalization with XTT2 Rules, [in:] Bassiliades N., Governatori G., Paschke A. (eds.): Rule-Based Reasoning, Programming and Applications, “Lecture Notes in Computer Science” volume 6826, Springer Berlin/Heidelberg, 329-336.
7. Nalepa G.J., Ligęza A. (2010): HeKatE Methodology, Hybrid Engineering of Intelligent Systems, “International Journal of Applied Mathematics and Computer Science” 20(1), 35-53.
8. Nalepa G.J., Ligęza A., Kaczor K. (2011a): Formalization and Modeling of Rules Using the XTT2 Method, “International Journal on Artificial Intelligence Tools” [in press].
9. Nalepa G., Bobek S., Ligęza A., Kaczor K. (2011b): Algorithms for Rule Inference in Modularized Rule Bases, [in:] Bassiliades N., Governatori G., Paschke A. (eds.): Rule-Based Reasoning, Programming and Applications, “Lecture Notes in Computer Science” volume 6826, Springer Berlin/Heidelberg, 305-312.
10. Nalepa G., Bobek S., Ligęza A., Kaczor K. (2011c): HalVA - Rule Analysis Framework for XTT2 Rules, [in:] Bassiliades N., Governatori G., Paschke A. (eds.): Rule-Based Reasoning, Programming and Applications, “Lecture Notes in Computer Science” volume 6826, Springer Berlin/Heidelberg, 337-344.
11. Hitzler P., Krötzsch M., Rudolph S. (2009): Foundations of Semantic Web Technologies, Chapman & Hall/CRC.
12. Nalepa G.J. (2009): XTT Rules Design and Implementation with Object-Oriented Methods, [in:] Lane H.C., Guesgen H.W. (eds.): FLAIRS-22: Proceedings of the twenty-second international Florida Artificial Intelligence Research Society conference, 19-21 May 2009, Sanibel Island, Florida, USA, FLAIR S, AAAI Press, Menlo Park, California, 390-395.
13. Nalepa G.J., Furmańska W.T. (2010): Integration Proposal for Description Logic and Attributive Logic - Towards Semantic Web Rules, [in:] Nguyen N.T., Kowalczyk R. (eds.): Transactions on Computational Collective Intelligence II, “Lecture Notes in Computer Science” volume 6450, Springer Berlin/Heidelberg, 1-23.
14. Nalepa G.J. (2010): Collective Knowledge Engineering with Semantic Wikis, “Journal of Universal Computer Science” 16(7), 1006-1023.
15. Nalepa G.J. (2011): Loki - Semantic Wiki with Logical Knowledge Representation, [in:] Nguyen N.T. (ed.): Transactions on Computational Collective Intelligence III, “Lecture Notes in Computer Science” volume 6560, Springer, 96-114.
16. Nalepa G.J., Ligęza A. (2005): A visual edition tool for design and verification of knowledge in rule-based systems, “Systems Science” 31(3), 103-109.
17. Kaczor K., Nalepa G.J. (2009): Extensible design and verification enviroment fpr XTT rule bases, [in:] Tadeusiewicz R., Ligęza A., Mitkowski W., Szymkat M. (eds.): CMS’09: Computer Methods and Systems: 7th conference, 26-27 November 2009, Kraków, Poland, AGH University of Science and Technology, Cracow, Oprogramowanie Naukowo-Techniczne.
18. Nalepa G.J. (2010): Architecture of the HeaRT Hybrid Rule Engine. [in:] Rutkowski L. et al. (eds.): Artificial Intelligence and Soft Computing: 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Pt. II, „Lecture Notes in Artificial Intelligence” volume 6114, Springer, 598-605.
19. Nalepa G.J., Ligęza A., Kaczor K., Furmańska W.T. (2009): HeKatE Rule Runtime and Design Framework, [in:] Giurca A., Nalepa G.J., Wagner G. (eds.): Proceedings of the 3rd East European Workshop on Rule-Based Applications (RuleApps 2009) Cottbus, Germany, September 21, 2009, 21-30.
20. Kluza K., Nalepa G.J., Łysik Ł. (2010): Visual Inference Specification Methods for Modularized Rulebases. Overview and Integration Proposal, [in:] Nalepa G.J., Baumeister J. (eds.): 6th Workshop on Knowledge Engineering and Software Engineering (KESE2009) at the 32nd German conference on Artificial Intelligence. September 21, 2010, Karlsruhe, Germany, 6-17.
21. OMG (2011): Business Process Model and Notation (BPMN): Version 2.0 Specification, Technical Report formal/2011-01-03, Object Management Group.
22. Kluza K., Maślanka T., Nalepa G.J., Ligęza A. (2011): Proposal of Representing BPMN Diagrams with XTT2-based Business Rules, [in:] Brazier F.M., Nieuwenhuis K., Pavlin G., Warnier M., Badica C. (eds.): Intelligent Distributed Computing V. Proceedings of the 5th International Symposium on Intelligent Distributed Computing - IDC 2011, Delft, Netherlands - October 2011, “Studies in Computational Intelligence” volume 382, Springer

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