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2010 | 1 | nr 1 | 85--97
Tytuł artykułu

Ontological Model of the Conceptual Scheme Formation for Queuing System

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In the article the authors propose an extended ontological model for distance learning, concerning pedagogical and cognitive requirements of the teaching/learning process. The main characteristic of the dedicated ontological model is reusability, which manifests itself in the possibility of adapting the knowledge model to different contexts and for different users by simply enabling knowledge sharing and knowledge management. The conceptual schemes are used for modelling the knowledge about queuing systems for knowledge repository and ontology development purposes. Authors have taken advantage of the computational models theory in order to create a model which combine theoretical and procedural knowledge. (original abstract)
Opis fizyczny
  • West Pomeranian University of Technology in Szczecin, Poland
  • West Pomeranian University of Technology in Szczecin, Poland
  • Warsaw School of Computer Science, Warszawa, Poland
  • Ausubel D.P. (1960). The use of advance organizers in the learning and retention of meaningful verbal material. Journal of Educational Psychology, Vol. 51, p. 267-272.
  • Kleinrock L. (1988). Performance evaluation of Distributed Computer - Communication Systems. Queuing theory and its applications, Amsterdam, North Holland.
  • Korytkowski P., Małachowski B., Zaikin O., Emma Kusztina E. (2005). Approach to teaching simulation ODL environment, Arena sphere, 28 June, Sheffield, England, CD-ROM.
  • Kusztina E., Zaikine O., Różewski P., Małachowski B. (2009). Cost estimation algorithm and decision-making model for curriculum modification in educational organization, European Journal of Operational Research, Vol. 197, No. 2, pp. 752-763.
  • Kushtina E., Zaikin O., Różewski P. (2007). On the knowledge repository design and management in E-Learning, In: E-Service Intelligence: Methodologies, Technologies and applications, Lu, Jie; Ruan, Da; Zhang, Guangquan (eds.), Series: Studies in Computational Intelligence, Vol. 37, Springer-Verlag Book, pp. 497-517.
  • Kushtina E., Różewski P., Zaikine O., (2006). Extended ontological model for distance learning purpose, Practical Aspects of Knowledge Management, PAKM 2006, Lecture Notes in Arti cial Intelligence No. 4333, pp. 155-165.
  • Kushtina E., A. Dolgui, B. Malachowski (2004). Organization of the modelling and simulation of the discrete processes, in Computer Information Systems and Applications, K. Saeed et al. (eds.), Bialystok, 2004.
  • Różewski P., Ciszczyk M. (2009). Model of a collaboration environment for knowledge management in competence based learning, ICCCI 2009, Lecture Notes in Artificial Intelligence, No. 5796, pp. 333-344.
  • Różewski P., Kusztina E., Zaikin O. (2008). Management Models and methods of Open and Distance Learning Process., Systems Research Institute of the Polish Academy of Sciences, Systems Studies, Warszawa-Szczecin 2008.
  • Sowa J.F. (eds.), (1991). Principles of Semantic Networks: Morgan Kaufmann Publishers, San Mateo, CA.
  • Storey V.C. (1993). Understanding semantic relationships, The VLDB Journal - The International Journal on Very Large Data Bases, Vol. 2, No. 4, pp. 455-488.
  • Suri R. et al., An overview of evaluation models for flexible manufacturing systems, Ann. Oper. Res. 1989, 34, pp. 13-21.
  • Tyugu Enn Ch. (1989). Programming with knowledge base, WNT, Warszawa.
  • Wong H.K.T., Mylopoulos J. (1977). Two Views of Data Semantics A Survey of Data Models in Artificial Intelligence and Database Management. INFOR, Vol. 15(3), pp. 344-382.
  • Zaikin O., Kushtina E., Różewski P. (2006). Model and algorithm of the conceptual scheme formation for knowledge domain in distance learning, European Journal of Operational Research, Vol. 175, No. 3, pp. 1379--1399.
  • Zaikin O., P. Korytkowski, E. Kushtina, B. Malachowski (2005). Modelling of the Supply Chain for a Distributed Publishing Enterprise. In A. Dolgui et al. (eds.), Supply Chain Optimisation, Springer, Berlin, 101-116.
  • Zaikin O., A. Dolgui, P. Korytkowski (2002). Optimisation of Resource Allocation in Distributed Production Networks. Lecture Notes in Arti cial Intelligence, Vol. 2296, pp. 322-331.
  • Zaikin O. (2002). Queuing Modelling Of Supply Chain In Intelligent Production, Informa, Wydziału Informatyki Politechniki Szczecińskiej, Szczecin.
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