PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Business process modelling using ontological task models

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Knowledge-based technologies form a basis for creation of flexible intelligent enterprise. Methods of business process modelling using ontological tasks models allow to create an active modelling system to capture and reuse knowledge patterns in form of ontological models while preserving overall consistency via common ontology usage. High-level business process ontology is presented. Models for business and decision making operations along with their representation in system are specified. Business process modelling tool using task models is described.
Twórcy
autor
  • Department of Information Systems and Networks, Lviv Polytechnic National University, 79012, Lviv, Bandery st. 12, Ukraine
Bibliografia
  • 1. Williams S. 1967. Business Process Modeling Improves Administrative Control. Automation, December, 44–50 (USA).
  • 2. Davenport T. H. and Short J. E. 1990. The New Industrial Engineering: Information Technology and Business Process Redesign, Sloan Manage. Rev., vol. 31, no. 4, 11–27. (USA)
  • 3. Weske M. 2007. Business Process Management: Concepts, Languages, Architectures. Springer-Verlag. (Germany)
  • 4. CMMI Architecture Team. 2007. Introduction to the Architecture of the CMMI ® Framework (USA).
  • 5. Mili H. and Jaoude G. B. and Jaoude G. Bou and all. 2010. Business process modeling languages: Sorting through the alphabet soup. ACM Comput. Surv., vol. 43, no. 1, 1–56 (USA).
  • 6. Graham B. B. 2004. Detail process charting: speaking the language of process. John Wiley& sons, 209 (USA).
  • 7. Kuzmin O. Ye. and Melnyk O. H. and Shpak N. O. and Mukan O. V. 2012 The concept of creation and use of the polycriterial diagnostics systems of enterprises activity, Econtechmod. An international quarterly journal on economics in technology, new technologies and modelling processes. Vol. I, No 4, 23-28 (Poland)
  • 8. Howson C. 2006. Business Objects XI: the complete reference. McGraw-Hill, 650.
  • 9. Larson B. 2008. Delivering Business Intelligence with Microsoft SQL Server 2008. McGraw-Hill Osborne Media (USA).
  • 10. Davis R. 2008. ARIS Design Platform. Advanced Process Modelling and Administration. Springer-Verlag, 416, (Germany).
  • 11. Lehmann T. and Karcher A. 2008, Decision suport and situational awareness. Intell. Decis. Technol., vol. 2, no. 1, 21–31 (USA).
  • 12. Niu L. and Lu J. and Zhang G. 2009. Cognition-Driven Decision Support for Business Intelligence: Models Springer, 237. (Germany).
  • 13. Hutchison D. and Mitchell J. C. 2007. Active Conceptual Modeling of Learning, vol. 4512. Berlin, Heidelberg: Springer Berlin Heidelberg, 243 (Germany).
  • 14. Ranjan J. 2008. Traditional Business Intelligence vis-avis real-time Business Intelligence. International Journal of Information and Communication Technology, vol. 1, no. 3/4. 298 (Germany).
  • 15. Quinn J. B. 2005. The intelligent enterprise a New paradigm. Academy of Management Executive, vol. 19, no. 4. 109–121 (USA).
  • 16. Gruber T. R. 1993. A translation approach to portale ontology specifications. Knowl. Acquis., vol. 5, no. 2, 199–220 (USA).
  • 17. Osterwalder A. 2004. The Business Model Ontology-a proposition in a design science approach. Citeseer. (USA)
  • 18. Kang D. and Lee J. and Choi S. and Kim K. 2010. An ontology-based Enterprise Architecture. Expert Systems with Applications, vol. 37, no. 2. 1456–1464 (USA).
  • 19. Mangione G. R. and Miranda S. and Paolozzi S. and Pierri A. and Ritrovato P. and S. Salerno. 2009 Ontology-Based System for Enterprise 2.0. Ninth Int. Conf. Intell. Syst. Des. Appl (USA).
  • 20. Lytvyn V. and Semotuyk O. and Moroz O. 2013. Definition of the semantic metrics on the basis of thesaurus of subject area. Econtechmod. An international quarterly journal on economics in technology, New technologies and modelling processes. Vol. IІ, No 4, 47- 52 (Poland)
  • 21. Michalewicz Z. and Michalewicz M. 2008. Machine intelligence, adaptive business intelligence, and natural intelligence. IEEE Comput. Intell. Mag., vol. 3, no. 1 (USA).
  • 22. Airinei D.-A. and Dinu Berta 2012. Semantic Business Intelligence - a New Generation of Business Intelligence. Infomatica Econ., vol. 16, no. 2, 72–80 (USA).
  • 23. Kokar B. 2009. Ontology-based situation awareness. Int. J. Inf. Fusion, no. 10(1), 83–98. (USA)
  • 24. Miah S. J. and Gammack J. and Kerr D. 2007. Ontology Development for Context-Sensitive Decision Support. Third Int. Conf. Semant. Knowl. Grid (SKG 2007) (USA).
  • 25. Ikeda M. and Seta K. and Kakusho O. and Mizoguchi R. 1998. Task ontology: Ontology for building conceptual problem solving models, Environment, 126– 133 (USA).
  • 26. Raubal M. and Kuhn W. 2004. Ontology-based task simulation, Spat. Cogn. Comput., vol. 4, no. 1, 15–37 (USA).
  • 27. Johnson P. and Johnson H. and Waddington R. and Shouls A. 1988. Task-Related Knowledge Structures : Analysis , Modelling and Application, Knowl. Creat. Diffus. Util., 35–62. (USA).
  • 28. Van Welie M. and Van Der Veer G. C. and Eliëns A. 1998. An Ontology for Task World Models, Methods, vol. 98, 57–70 (USA).
  • 29. Taylor P. and Raubal M. and Kuhn W. 2004. Ontology-Based Task Simulation, Spat. Cogn. Comput., vol. 4, no. 917247301, 15–37 (USA).
  • 30. Seta K. and Koyama K. and Hayashi Y. and Ikeda M. 2006. Building ontologies for conceptual model management, WSEAS Trans. Inf. Sci. Appl., vol. 3, no. 3, 546–553 (USA).
  • 31. Olive A. 2007. Conceptional modeling of information systems. Springer Berlin Heidelberg, 471 (Germany).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-58ba5870-936a-4475-9489-b45aaea9c10c
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.