Automating The Work at KAI-RCS : A Case Study on Using Imaging Databases to Follow Up Projects

  • 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 world wide 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 follow up the in charge projects in King Saud University King Abdullah Institute for Research and Consulting Studies by collecting project information and images of it’s various documents and store them in an imaging database to make the retrieval of a specific project information and it’s documents scanned images easier and faster; therefore, through this automation approach, we optimize the work process and maximize the efficiency of KAI-RCS tasks.

Keywords

Marketing 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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-.
    Part 1 and Part 2, International Standard 10166, 1991Google Scholar
  5. 5-.
    Sonnenberger, G. and Frei, H. Design of a reusable IR framework. In: SIGIR’95: Proceedings of 18th ACM-SIGIR Conference on Research and Development in Information Retrieval, Seattle, 1995. (New York: ACM, 1995). 49-57.CrossRefGoogle Scholar
  6. 6-.
    Fuhr, N. Toward data abstraction in networked information systems. Information Processing and Management 5(2) (1999) 101-119.CrossRefGoogle Scholar
  7. 7-.
    Jacobson, I., Griss, M. and Jonsson, P. Software reuse: Architecture, process and organization for business success. (New York: ACM Press, 1997).Google Scholar
  8. 8-.
    Davenport, T.H. Information ecology: Mastering the information and knowledge environment. (Oxford: Oxford University Press, 1997).Google Scholar
  9. 9-.
    Bocij, P. et al., Business information systems: Technology, development and management. (London: Financial Times Management, 1999).Google Scholar
  10. 10-.
    Kaszkiel, M. and Zobel, J. Passage retrieval revisited. In: SIGIR’97: Proceedings of 20th ACM-SIGIR Conference on Research and Development in Information Retrieval Philadelphia, 1997. (New York: ACM, 1997).CrossRefGoogle Scholar
  11. 11-.
    M Simone, “Document Image Analysis And Recognition” http://www.dsi.unifi.it/∼simone/DIAR/
  12. 12-.
    “Document Image Analysis” available at : http://elib.cs.berkeley.edu/dia.html
  13. 13-.
    “Matlab Image Processing Toolbox” available at : http://homepages.inf.ed.ac.uk/rbf/HIPR2/impmatl.htm
  14. 14-.
  15. 15-.
    “What’s OCR? available at : http://www.dataid.com/aboutocr.htm
  16. 16-.
    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
    • 2
  1. 1.Computer and Information UnitVice Rectorate for Branches King Saud UniversityRiyadhSaudi Arabia
  2. 2.King Abdullah Institute for Research and Consulting StudiesKing Saud UniversityRiyadhSaudi Arabia

Personalised recommendations