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Designing a Tool for Configuring an Intelligent and Flexible Web-Based System

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3682))

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Abstract

Several intelligent Web-based systems need complex reasoning mechanisms and problem solving capabilities in order to perform their tasks. These systems should protect their users against the complexity of their inference engine. Such a protection should be offered both to the final users and to the domain experts that instantiate the Web systems on the different particular domains. We claim that to this purpose an intermediate representation layer, with the role of filling the gap between the implementation-oriented view of the domain (needed by the reasoning module) and the human-oriented view of the same domain (suitable both for the final users and for the domain experts), is required. This intermediate layer also provides a representation which is independent from the specific reasoning approach adopted. In the paper we discuss these issues by referring to a specific example, i.e. the STAR system (a Web-based system which exploits a configuration engine to support the user in organizing a personalized tour) together with STAR-IT, a tool that supports the instantiation of STAR on different domains.

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References

  1. Mailharro, D.: A classification and constraint-based framework for configuration. AI EDAM 12, 383–397 (1998)

    Google Scholar 

  2. Fleischanderl, G., Friedrich, G.E., Haselböck, A., Schreiner, H., Stumptner, M.: Configuring large systems using generative constraint satisfaction. IEEE Intelligent Systems, 59–68 (1998)

    Google Scholar 

  3. Torrens, M., Faltings, B., Pu, P.: SmartClients: Constraint satisfaction as a paradigm for scaleable intelligent information systems. Int. Journal of Constraints 7, 49–69 (2002)

    Article  MATH  Google Scholar 

  4. Knoblock, C.: Building software agents for planning, monitoring, and optimizing travel. In: Proc. of ENTER 2004 (2004)

    Google Scholar 

  5. Ricci, F., Arslan, B., Mirzadeh, N., Venturini, A.: Itr: a case-based travel advisory system. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, pp. 613–627. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  6. Goy, A., Magro, D.: Dynamic configuration of a personalized tourist agenda. In: Proc. of IADIS Int. Conf. WWW/Internet 2004, pp. 619–626 (2004)

    Google Scholar 

  7. Magro, D., Torasso, P.: Decomposition strategies for configuration problems. AIEDAM, Special Issue on Configuration 17, 51–73 (2003)

    Google Scholar 

  8. Sabin, D., Weigel, R.: Product configuration frameworks - a survey. IEEE Intelligent Systems, 42–49 (1998)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Magro, D., Goy, A. (2005). Designing a Tool for Configuring an Intelligent and Flexible Web-Based System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_124

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  • DOI: https://doi.org/10.1007/11552451_124

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28895-4

  • Online ISBN: 978-3-540-31986-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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