Automating The Work at KAI-RCS : A Case Study on Using an Imaging Database to Administer and Manage The International Competition for King Khaled University Campus Architectural Design

  • Mohammad AbdulRahman ALGhalayini
  • Mohammad ALIssan ALGhamdi
Conference paper

Abstract

Today, many institutions and organizations are facing serious problem due to the tremendously increasing size of documents, and this problem is further triggering the storage and retrieval problems due to the continuously growing space and efficiency requirements. This problem is becoming more complex with time and the increase in the size and number of documents in an organization. Therefore, there is a growing demand to address this problem. This demand and challenge can be met by developing a process to enable specialized document imaging people to select the most suitable image type and scanning resolution to use when there is a need for storing documents images. This process, if applied, attempts to solve the problem of the image storage type and size to some extent. In this paper, we present a case study resembling an applied process to accurately administer and mange The International Competition for King Khaled University Campus Architectural Design by King Abdullah Institute for Research and Consulting Studies through collecting all the competing firms information and paper material and store them in an imaging database to make the retrieval of information and the material scanned images easier and faster; therefore, we optimize the work process and maximize the efficiency of KAI-RCS tasks.

Keywords

Marketing 

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References

  1. 1-.
    Frei, H.P. Information retrieval - from academic research to practical applications. In: Proceedings of the 5th Annual Symposium on Document Analysis and Information Retrieval, Las Vegas, April 1996.Google Scholar
  2. 2-.
    Clifton, H., Garcia-Molina, H., Hagmann, R.: “The Design of a Document Database”, Proc. of the ACMGoogle Scholar
  3. 3-.
    ISO/IEC, Information Technology - Text and office systems - Document Filing and Retrieval (DFR) –Google Scholar
  4. 4-.
    Fuhr, N. Toward data abstraction in networked information systems. Information Processing and Management 5(2) (1999) 101-119.Google Scholar
  5. 5-.
    Jacobson, I., Griss, M. and Jonsson, P. Software reuse: Architecture, process and organization for business success. (New York: ACM Press, 1997).Google Scholar
  6. 6-.
    Davenport, T.H. Information ecology: Mastering the information and knowledge environment. (Oxford: Oxford University Press, 1997).Google Scholar
  7. 7-.
    Bocij, P. et al., Business information systems: Technology, development and management. (London: Financial Times Management, 1999).Google Scholar
  8. 8-.
    ALGhalayini M., Shah A., “Introducing the (POSSDI) Process: The Process of Optimizing the Selection of the Scanned Document Images”. International Joint Conferences on Computer, Information, Systems Sciences, and Engineering (CIS2E 06) December 4 - 14, 2006Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • Mohammad AbdulRahman ALGhalayini
    • 1
  • Mohammad ALIssan ALGhamdi
    • 1
  1. 1.Computer and Information UnitVice Rectorate for Branches King Saud UniversityRiyadhSaudi Arabia

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