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Open Problems of Information Systems Research and Technology

  • Bernhard Thalheim
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 158)

Abstract

Computer science and technology is an area of very intensive research and development. It is estimated that the half-life period of knowledge in this area is about 12 to 18 months. No other branch of science has such short half-life period. Therefore new problems have to solved. At the same time some of the old open problems must be solved. This invited talk aims at a systematic survey of open problems and proposes a number of solutions to their solution. We structure these open problems in structuring problems, into size or more generally complexity problems, functionality problems, interactivity problems, distribution problems, and general problems.

Keywords

Open Problem Integrity Constraint Information System Research Dynamic Semantic Information System Development 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Bjørner, D.: Software Engineering 3: Domains, requirements, and software design. Springer, Berlin (2006)Google Scholar
  2. 2.
    Greco, G.M., Paronitti, G., Turilli, M., Floridi, L.: The philosophy of information: A methodological point of view. In: Wissensmanagmeent, pp. 563–570. DFKI, Kaiserslautern (2005)Google Scholar
  3. 3.
    Heinrich, L.J.: Informationsmanagement: Planung, Überwachung und Steuerung der Informationsinfrastruktur. Oldenbourg Verlag, München (1996)Google Scholar
  4. 4.
    Samuel, A., Weir, J.: Introduction to Engineering: Modelling, Synthesis and Problem Solving Strategies. Elsevier, Amsterdam (2000)Google Scholar
  5. 5.
    Schewe, K.-D., Thalheim, B.: Development of collaboration frameworks for web information systems. In: IJCAI 2007 (20th Int. Joint Conf on Artificial Intelligence), Section EMC 2007 (Evolutionary Models of Collaboration), Hyderabad, pp. 27–32 (2007)Google Scholar
  6. 6.
    Thalheim, B.: Open problems in relational database theory. Bull. EATCS 32, 336–337 (1987)Google Scholar
  7. 7.
    Thalheim, B.: Entity-relationship modeling – Foundations of database technology. Springer, Berlin (2000)CrossRefGoogle Scholar
  8. 8.
    Thalheim, B.: The art of conceptual modelling. In: Information Modelling and Knowledge Bases XXII. Frontiers in Artificial Intelligence and Applications, vol. 237, pp. 149–168. IOS Press (2012)Google Scholar
  9. 9.
    Thalheim, B.: The science and art of conceptual modelling. In: Hameurlain, A., Küng, J., Wagner, R., Liddle, S.W., Schewe, K.-D., Zhou, X. (eds.) TLDKS VI. LNCS, vol. 7600, pp. 76–105. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  10. 10.
    Thalheim, B.: The conception of the model. In: Abramowicz, W. (ed.) BIS 2013. LNBIP, vol. 157, pp. 113–124. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  11. 11.
    Thalheim, B., Kitawara, Y., Karttunen, E., Jaakkola, H.: Future directions of knowledge systems environments for web 3.0. In: Information Modelling and Knowledge Bases. Frontiers in Artificial Intelligence and Applications, vol. 225, pp. 413–446. IOS Press (2011)Google Scholar
  12. 12.
    Thomas, M.: Modelle in der Fachsprache der Informatik. Untersuchung von Vorlesungsskripten aus der Kerninformatik. In: DDI. LNI, vol. 22, pp. 99–108. GI (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Bernhard Thalheim
    • 1
  1. 1.Department of Computer ScienceChristian Albrechts University KielKielGermany

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