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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 11

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

Towards better understanding of context-aware knowledge transformation

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DOI: http://dx.doi.org/10.15439/2017F383

Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 11231126 ()

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Abstract. Considering different aspects of knowledge functioning, context is poorly understood despite of intuitively identifying this concept with environmental recognition. Especially for dynamical knowledge context seems to be essential factor of changing. Investigation on impact of contexts on knowledge dynamics or more generally on relationships between knowledge and its contextual interpretation is important in order to understand knowledge dynamics. The aim of this paper is to survey and examine the nature of knowledge transformation (specific sort of life cycle), and to identify contextual factors affecting knowledge dynamics

References

  1. M. Davies, Knowledge–Explicit, implicit and tacit: Philosophical aspects. International encyclopedia of the social & behavioral sciences, 2015, pp. 74-90.
  2. K. Marciniak, and M. Owoc, Knowledge Management in the Interactive Portal for Decision Makers on InKOM Example, International Science Index,9(1), 2015, pp. 705-712.
  3. M. Owoc, K. Hauke, and P. Weichbroth, Knowledge-Grid Modelling for Academic Purposes. IFIP International Workshop on Artificial Intelligence for Knowledge Management. Springer, 2015, pp. 1–14.
  4. N. K. Tran, A. Ceroni, N. Kanhabua, and C. Niederée, Time-travel Translator: Automatically Contextualizing News Articles. In Proceedings of the 24th International Conference on World Wide Web, ACM 2015, pp. 247–250.
  5. A. Fuxman, et al., Contextual insights. Proceedings of the 23rd International Conference on WWW, ACM 2014, pp. 265–266.
  6. Z. Gantner, S. Rendle, and L. Schmidt-Thieme, Factorization models for context-/time-aware movie recommendations. Proceedings of the Workshop on Context-Aware Movie Recommendation, ACM 2010, pp. 14–19.
  7. Y. C. Hwang, R. D. Oh, and G. H. Ji, A Sensor Data Processing System for Mobile Application Based Wetland Environment Context-aware. In International Conference on Ubiquitous Computing and Multimedia Applications, Springer, 2011, pp. 245–254.
  8. J. Indulska, T. McFadden, M. Kind, and K. Henricksen, Scalable location management for context-aware systems. In IFIP International Conference on Distributed Applications and Interoperable Systems. Springer, 2003, pp. 224–235.
  9. W. Qin, D. Zhang, Y. Shi, and K. Du, Combining user profiles and situation contexts for spontaneous service provision in smart assistive environments. Ubiquitous Intelligence and Computing, 2008, pp. 187–200.
  10. J. A. Jakubczyc, and M. L. Owoc, Contextual knowledge granularity. Proceedings of Informing Science & IT Education Conference (InSITE), 2011, pp. 259–268.
  11. M. L. Owoc, Intelligent paradigm in grid computing. Knowledge Acquisition and Management. Research Papers No. 25, Publishing House of the Wroclaw University of Economics, 2008, pp. 113–121.
  12. H. Zhuge, Knowledge flow management for distributed team software development. Knowledge-Based Systems, 15(8), 2002, pp. 465–471.
  13. M. L. Owoc, and P. Weichbroth, Transformacje wiedzy sieciowej. Podstawy ontologiczne. (Knowledge Grid Transformation. Ontological Foundations). Knowledge in Enterprise Creativity. Czestochowa University of Technology, 2014, pp. 165–177.
  14. A. Bogner, and W. Menz, The theory-generating expert interview: epistemological interest, forms of knowledge, interaction. Interviewing experts, Palgrave Macmillan, 2009, pp. 43–80.
  15. J. M. Firestone, The New Knowledge Management: a paradigm and its problems. KT Web Connecting Knowledge Technology Communities, 2003, pp. 1–8.
  16. A. Lenci, The life cycle of knowledge. Ontology and the Lexicon. A Natural Language Processing Perspective. Cambridge University Press, Cambridge 2010, pp. 241–257.
  17. J. Birkinshaw, and T. Sheehan, Managing the knowledge life cycle. MIT Sloan management review, 44(1), 2002.
  18. P. Brezany, I. Janciak, A. Woehrer, and A.M. Tjoa, Gridminer: A framework for knowledge discovery on the grid-from a vision to design and implementation. Cracow Grid Workshop, 2004, pp.12–15.
  19. D. Stenholm, J. Landahl, and D. Bergsjö, D, Knowledge management life cycle: An individual's perspective. DS 77: Proceedings of the DESIGN 2014 13th International Design Conference, pp. 1905–1914.
  20. K. Möller, Lifecycle models of data-centric systems and domains: The abstract data lifecycle model. Sem. Web, 4(1), 2013, pp. 67–88.
  21. M. Zięba, E. Bolisani, M. Paiola, and E. Scarso, Searching for innovation knowledge: insight into KIBS companies. Knowledge Management Research & Practice, 2017, pp. 1–12.
  22. J. Gołuchowski, Technologie informatyczne w zarządzaniu wiedzą w organizacji. Akademia Ekonomiczna w Katowicach, Katowice 2007.
  23. P. O. Prakash, and A. Jaya, Analyzing and predicting user behavior pattern from weblogs. International Journal of Applied Engineering Research, 11(9), 2016, pp. 6278–6283.
  24. P. R. Carlile, and E. S. Rebentisch, Into the black box: The knowledge transformation cycle. Management Science, 49 (9), 2003, pp. 1180–1195.
  25. K. Leja, Wybrane aspekty zarządzania wiedzą w wyższej uczelni. [W:] Zarządzanie wiedzą. Wybrane problemy, WZiE PG, Gdańsk 2003, pp. 29–42.
  26. M. Alsqour, K. Matouk, and M. L Owoc, A survey of data warehouse architectures - Preliminary results. IEEE, 2012, pp. 1121–1126.
  27. J. Wielki, Modele wpływu przestrzeni elektronicznej na organizacje gospodarcze. Wydawnictwo UE we Wrocławiu, Wrocław 2012.
  28. M. Hernes, A. Chojnacka-Komorowska, and K. Matouk Przetwarzanie wiedzy nieustrukturalizowanej w obszarze e-bankingu. Ekonomiczne Problemy Usług, Wydawnictwo Naukowe Uniwersytetu Szczecińskiego 122, 2016, pp. 247–258.
  29. M. Nycz, and M. L. Owoc, Pozyskiwanie wiedzy i zarządzanie wiedzą. Wydawnictwo Uniwersytetu Ekonomicznego, Wrocław 2010.
  30. Y. Li, and Z. Lu, Ontology-based universal knowledge grid: Enabling knowledge discovery and integration on the grid. Services Computing, IEEE 2004, pp. 557–560.
  31. J. Fazlagić, M. Sikorski, and A. Sala, Portale intranetowe. Zarządzanie wiedzą, kapitał intelektualny, korzyści dla pracowników i dla organizacji. WZiE PG, Gdańsk 2014.
  32. K. Hauke, M. L. Owoc, M. L., and M. Pondel, Building data mining models in the Oracle 9i environment. Proceedings of Informing Science and IT Education, 2009.
  33. M. Cannataro, D. Talia, and P. Trunfio, Knowledge grid: high performance knowledge discovery services on the grid. Grid Computing 2001, pp. 38–50.
  34. M. Cannataro, and D. Talia, Semantics and knowledge grids: building the next-generation grid. IEEE Intelligent Systems, 19(1), 2004, pp. 56–63.
  35. E. Brendel, Contextualism, relativism, and the semantics of knowledge ascriptions. Philos. Studies, 168(1), 2014, pp. 101–117.
  36. V. Akman, Rethinking context as a social construct. Journal of Pragmatics, vol. 32, 2000, pp. 743–759.
  37. D. Kronsbein, D. Meiser, and M. Leyer, Conceptualisation of Contextual Factors for Business Process Performance. Proceedings of the International MultiConference of Engineers and Computer Scientists, vol. 2, 2014.