Facilitating Collaboration and Information Retrieval: Collaborative Traces Based SWOT Analysis and Implications

  • Qiang Li
  • Marie-Hélène Abel
  • Jean-Paul A. Barthès
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 515)

Abstract

In a web-based Collaborative Working Environment (CWE), people’s activities are principally concentrated in the group shared work space. Any collaborative interactions could leave a series of collaborative traces. Based on our proposed concept Collaborative Trace and the corresponding Model, this chapter addresses the issue related to exploit and reuse the collaborative traces in consideration of supporting the group collaboration work in different aspects. In this process, obviously, some complex filters are required to extract more potential information both from the trace set and the data base. They can be defined by the rules according to the practical collaboration object and the application formalism. Furthermore, a general traces exploitation framework is introduced and implemented in CWE with a comprehensive case: the traces based SWOT Analysis.

Keywords

Collaborative working environment Collaborative trace Information retrieval SWOT analysis Knowledge engineering 

References

  1. 1.
    Acharya, A., et al.: Information retrieval based on hitorical data. U.S. Patent No. 7,346,839, U.S. Patent and Trademark Office, Washington, DC (2008)Google Scholar
  2. 2.
    Aho, A.V., Ullman, J.D.: The Theory of Parsing, Translation, and Compiling. Prentice-Hall, Englewood Cliffs (1972)Google Scholar
  3. 3.
    Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. ACM press, New York (1999)Google Scholar
  4. 4.
    Champin, P.-A., Prié, Y., Mille, A.: Musette : modeling uses and tasks for tracing experience. In: ICCBR (NTNU), pp. 279–286 (2003)Google Scholar
  5. 5.
    Champin, P.A., Prié, Y., Mille, A.: Musette: a framework for knowledge capture from experience. Extraction et Gestion des Connaissances, 2167 (2004)Google Scholar
  6. 6.
    Clauzel, D., Sehaba, K., Prie, Y.: Modelling and visualising traces for reflexivity in synchronous collaborative systems. In: IEEE International Conference on Intelligent Networking and Collaborative Systems, pp. 16–23 (2009). http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5369133
  7. 7.
    Clauzel, D., Sehaba, K., Prié, Y.: Enhancing synchronous collaboration by using interactive visualisation of modelled traces. Simul. Model. Pract. Theory 19(1), 84–97 (2011)CrossRefGoogle Scholar
  8. 8.
    Corbitt, G.F., Christopolus, M., Wright, L.: New approaches to business process redesign: a case study of collaborative group technology and service mapping. Group Decis. Negot. 9(2), 97–107 (2000)CrossRefGoogle Scholar
  9. 9.
    Dretske, F.I.: Knowledge and the flow of information. Australian J. Philos. 61, 14–273. MIT Press (1981). http://mitpress.mit.edu/catalog/item/default.asp?tid=7275&ttype=2
  10. 10.
    Fidel, R., Mark Pejtersen, A.: A multidimensional approach to the study of human-information interaction: a case study of collaborative information retrieval. J. Am. Soc. Inform. Sci. Technol. 55(11), 939–953 (2004)CrossRefGoogle Scholar
  11. 11.
    Fleisher, C.S., Bensoussan, B.E.: Strategic and Competitive Analysis: Methods and Techniques for Analyzing Business Competition, p. 457. Prentice Hall, Englewood Cliffs (2003)Google Scholar
  12. 12.
    Ghazinoory, S., Esmail Zadeh, A.: Fuzzy SWOT analysis. J. Intell. Fuzzy Syst. 18(1), 99–108 (2007)MATHGoogle Scholar
  13. 13.
    Hansen, P., Järvelin, K.: Collaborative information retrieval in an information-intensive domain. Inf. Process. Manage. 41(5), 1101–1119 (2005)CrossRefGoogle Scholar
  14. 14.
    Hermjakob, U.:Parsing and question classification for question answering. In: Proceedings of the Workshop on Open-domain Question Answering, Vol. 12, pp. 1–6. Association for Computational Linguistics (2001)Google Scholar
  15. 15.
    Jackson, S.E., Joshi, A., Erhardt, N.L.: Recent research on team and organizational diversity: SWOT analysis and implications. J. Manag. 29(6), 801–830 (2003)Google Scholar
  16. 16.
    Laflaquière, J., Settouti, L.S., Prié, Y., Mille, A.: Trace-based framework for experience management and engineering. Lect. Notes Comput. Sci. 4251(4251), 1171–1178 (2006)CrossRefGoogle Scholar
  17. 17.
    Lehnert, W.G., Lehnert, W.G.: The Process of Question Answering: A Computer Simulation of Cognition. L. Erlbaum Associates, New York (1978)Google Scholar
  18. 18.
    Li, Q., Abel, M.H., Barthès, J.P.: A model of collaborative trace to enrich group experience. In: 5th International Conference of the World Summit on the Knowledge Society, Rome, Italy (2012)Google Scholar
  19. 19.
    Li, Q., Abel, M.-H., Barthès, J.-P.A.: Facilitating Experience Sharing in Groups - Collaborative Trace Reuse and Exploitation. In: Liu, K., Filipe, J. (eds.) KMIS, SciTePress. pp. 21–30 (2012) ISBN: 978-989-8565-31-0Google Scholar
  20. 20.
    Li, Q., Abel, M.H., Barthes, J.P.: Sharing working experience: using a model of collaborative traces. In: IEEE 16th International Conference on Computer Supported Cooperative Work in Design, pp. 221–227 (2012)Google Scholar
  21. 21.
    Machlup, F.: Knowledge, Its Creation, Distribution, and Economic Significance. Princeton University Press, Princeton (1980)Google Scholar
  22. 22.
    Martínez-Carreras, M.A., Ruiz-Martinez, A., Gomez-Skarmeta, A.F., Prinz, W.: Designing a generic collaborative working environment. In: Proceedings of IEEE International Conference on Web Services, pp. 1080–1087 (2007)Google Scholar
  23. 23.
    Mille, A.: From case-based reasoning to traces-based reasoning. Ann. Rev. Control 30(2), 223–232 (2006)CrossRefGoogle Scholar
  24. 24.
    Neo, M.: Developing a collaborative learning environment using a web-based design. J. Comput. Assist. Learn. 19(4), 462–473 (2003)CrossRefGoogle Scholar
  25. 25.
    Pickens, J., Golovchinsky, G., Morris, M. R.: Collaborative information retrieval. In: Proceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 440–440 (2008)Google Scholar
  26. 26.
    Prinz, W., Loh, H., Pallot, M., Schaffers, H., Skarmeta, A., Decker, S.: ECOSPACE-towards an integrated collaboration space for eProfessionals. In: IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, pp. 1–7 (2006)Google Scholar
  27. 27.
    Schneider, K.: Experience and Knowledge Management in Software Engineering. Springer, Berlin (2009)Google Scholar
  28. 28.
    Settouti, L.S., Prié, Y., Marty, J.-C.Mille, A.: A trace-based system for technology-enhanced learning systems personalisation. In: ICALT 2009, pp. 93–97Google Scholar
  29. 29.
    Sun, Z., Finnie, G.: Experience management in knowledge management. Lecture Notes in Computer Science 3681, pp. 979–986. Springer, Berlin (2005)Google Scholar
  30. 30.
    Wheelen, T.L., Hunger, J.D.: Concepts in Strategic Management and Business Policy. Pearson Education, India (2011)Google Scholar
  31. 31.
    Yüksel, İ., Dagdeviren, M.: Using the analytic network process (ANP) in a SWOT analysis: a case study for a textile firm. Inf. Sci. 177(16), 3364–3382 (2007)CrossRefMATHGoogle Scholar
  32. 32.
    Zarka, R., Cordier, A., Egyed-Zsigmond, E., Mille, A.: Trace replay with change propagation impact in client/server applications. In: Ingénierie des connaissances, Sciences exactes et naturelles, p. 607622, Publibook (2011)Google Scholar
  33. 33.
    Zins, C.: Conceptual approaches for defining data, information, and knowledge. J. Am. Soc. Inform. Sci. Technol. 58, 479–493 (2007). http://onlinelibrary.wiley.com/doi/10.1002/asi.20508/full

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Qiang Li
    • 1
  • Marie-Hélène Abel
    • 1
  • Jean-Paul A. Barthès
    • 1
  1. 1.UMR CNRS 7253 Heudiasyc Université de Technologie de CompiègneCentre de Recherches de RoyallieuCompiègneFrance

Personalised recommendations