Specialized Knowledge Systems – A Model for Intelligent Learning Management within Organizations

  • Isabel Mendes
  • Henrique Santos
  • Celina Pinto Leão
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 206)


This paper presents an insight of the perspectives and potentialities that may arise from the use of tools based on semantic technology, for an autonomous management of the learning and the knowledge produced within organizations. Thus, the conceptual basis of a model for the development of knowledge systems will be presented, oriented for an intelligent learning management. The scope of application of this model is software houses. Its main function is to support specialized training having as basis the use of contents adjusted to particular needs. The pillars of its functioning are essentially based on the use of semantic technologies and the dynamic self-regulation of its contents. Similarly, and bearing in mind the importance of learning theories for the scope of this study, we will include an approach to the connectivist theory, in order to better understand behavior and trends influencing learning and pedagogical processes in the digital era.


Connectivism e-Learning Knowledge Systems Learning Networks Ontologies Semantic Technologies 


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  1. 1.
    dos Santos, F.L.: Estratégia Passo-A-Passo, 1st edn. Centro Atlantico, Lisboa (2004)Google Scholar
  2. 2.
    Senge, P.M.: The Fifth Discipline: The Art and Practice of the Learning Organization: Book Review (1993)Google Scholar
  3. 3.
    UNDP, “Human Development Report 2010, The Real Wealth of Nations: Pathways to Human Development”, United Nations Development Programme, Online, Global Report 2010 Report (2010)Google Scholar
  4. 4.
    Klamma, R., Chatti, M., Duval, E., Hummel, H., Hvannberg, E., Kravcik, M., Law, E., Naeve, A., Scott, P.: Social Software for Life-long Learning (2007)Google Scholar
  5. 5.
    IAIED | International AIED Society, http://iaied.org/about/ (accessed: April 10, 2012)
  6. 6.
    Rico, D.F., Sayani, H.H., Jeffrey, V., Sone, S.: The Business Value of Agile Software Methods: Maximizing ROI with Just-in-Time Processes and Documentation. J. Ross Publishing, U.S.A. (2009)Google Scholar
  7. 7.
    Torniai, C., Jovanovic, J., Gasevic, D., Bateman, S., Hatala, M.: E-Learning Meets the Social Semantic Web. In: Eighth IEEE International Conference on Advanced Learning Technologies, ICALT 2008, pp. 389–393 (2008)Google Scholar
  8. 8.
    Jovanovic, J., Devedžic, V., Gasevic, D., Hatala, M., Eap, T., Richards, G., Brooks, C.: Using Semantic Web Technologies to Analyze Learning Content. IEEE Internet Computing 11(5), 45–53 (2007)CrossRefGoogle Scholar
  9. 9.
    Gruber, T.: Collective Knowledge Systems: Where the Social Web meets the Semantic Web. Web Semantics: Science, Services and Agents on the World Wide Web 6(1), 4–13 (2008)CrossRefGoogle Scholar
  10. 10.
    Berners-Lee, T., Hendler, J., Lassila, O., et al.: The Semantic Web. Scientific American 284(5), 34–43 (2001)CrossRefGoogle Scholar
  11. 11.
    Jovanovic, J., Gasevic, D., Devedzic, V.: E-Learning and the Social Semantic Web. In: Dicheva, D., Mizogouchi, R., Greer, J. (eds.) The Future of Learning, Semantic Web Technologies for e-Learning, Amsterdam, Netherlands, vol. 4, p. 299 (2009)Google Scholar
  12. 12.
    W3C.org, OWL Web Ontology Language Overview (February 10, 2004), http://www.w3.org/TR/2004/REC-owl-features-20040210/#s1.3 (accessed: Maio 28, 2011)
  13. 13.
    Rajiv, P., Sanjay, D.: Ontology Description using OWL to Support Semantic Web Applications. International Journal of Computer Applications 14(4), 30–33 (2011)CrossRefGoogle Scholar
  14. 14.
    Isotani, S., Mizoguchi, R., Bittencourt, I., Costa, E.: Estado da Arte em Web Semântica e Web 2.0: Potencialidades e Tendências da Nova Geração de Ambientes de Ensino na Internet. Revista Brasileira de Informática na Educação 17(01), 30 (2009)CrossRefGoogle Scholar
  15. 15.
    W3C.org, W3C Semantic Web, http://www.w3.org/2001/SW (accessed: Maio 27, 2011)
  16. 16.
    Hendler, J., Berners-Lee, T.: From the Semantic Web to Social Machines: A Research Challenge for AI on the World Wide Web. Artificial Intelligence 174(2), 156–161 (2010)MathSciNetCrossRefGoogle Scholar
  17. 17.
    O’Reilly, T.: What Is Web 2.0. O’Reilly (September 30, 2005), http://oreilly.com/web2/archive/what-is-web-20.html (accessed: April 30, 2011)
  18. 18.
    Alexa.com, Alexa, Top Sites by Category: Top, http://www.alexa.com/topsites/category?category=Top&q=social+networks&r=topsites_category&p=bigtop (accessed: March 10, 2012)
  19. 19.
    Siemens, G., Weller, M.: Higher Education and the Promises and Perils of Social Network. Revista de Universidad y Sociedad del Conocimiento (RUSC) 8(1), 164–170 (2011)Google Scholar
  20. 20.
    Siemens, G., Tittenberger, P.: Handbook of Emerging Technologies for Learning. University of Manitoba, Manitoba (2009)Google Scholar
  21. 21.
    Lopp, M.: Managing Humans: Biting and Humorous Tales of a Software Engineering Manager. Springer (2007)Google Scholar
  22. 22.
    Siemens, G.: Connectivism: A Learning Theory for the Digital Age (2005), http://www.itdl.org/journal/jan_05/article01.htm (accessed: June 23, 2012)
  23. 23.
    Mota, J.: Da Web 2.0 ao e-Learning 2.0: Aprender na Rede, Tese de Mestrado. Universidade Aberta, Portugal (2009)Google Scholar
  24. 24.
    Mendes, I., Santos, H.: Sistemas Auto-Regulados de Conteúdos Orientados para Contextos de Aprendizagem em Ambiente Profissional. In: 6th Congresso Luso-Moçambicano de Engenharia/ 3rd Congresso de Engenharia de Moçambique, Maputo, Moçambique, p. 1188 (2011)Google Scholar
  25. 25.
    Hippel, E.: Democratizing Innovation: the Evolving Phenomenon of User Innovation. International Journal of Innovation Science 1(1), 29–40 (2009)CrossRefGoogle Scholar
  26. 26.
    Hippel, E.: Horizontal Innovation Networks—By and for Users. Oxford Journals 16(2), 293–315 (2007)Google Scholar
  27. 27.
    Miller, A.: Disruptive and Transformative Education: Designing Learning in the Digital Age. eLearn Magazine, Education and Technology in Perspective 2012(11), 1 (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Isabel Mendes
    • 1
  • Henrique Santos
    • 1
  • Celina Pinto Leão
    • 2
  1. 1.Centro Algoritmi, Department of Information Systems, School of EngineeringUniversity of MinhoGuimarãesPortugal
  2. 2.Centro Algoritmi, Department of Production and Systems, School of EngineeringUniversity of MinhoGuimarãesPortugal

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