A knowledge processing oriented life cycle study from a Digital Museum system

  • Authors:
  • Qiaozhu Mei

  • Affiliations:
  • Vanderbilt University, Nashville, TN

  • Venue:
  • ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
  • Year:
  • 2004

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Abstract

Traditional Digital Museum systems focus on a single function of organizing exhibitions and their design patterns are based on respective exhibiting items. Their life cycles are straight for warding, lacking in feedback and nonreusable. Little attention is paid on manage knowledge processing within a life cycle. Modern Digital Museums must deal with exponentially increasing information and provide integrated functions for digital appreciation, e-learning and relevant research. These needs require the objects in a Digital Museum system to be highly abstract and its life cycle to be iterative and reusable. Systematically integrated knowledge processing procedures become absolutely necessary for handling the information system in the Digital Museum. This article throws light on a new life cycle of modern Digital Museum systems. Knowledge Flow is a highly abstracted object from all information streams throughout a Digital Museum life cycle. Encircling knowledge flow, this particular life cycle presents a multidimensional fountain-like model with defined milestones. Knowledge processing procedures in this life cycle are well divided into hierarchies, with different emphases on each dimension. This article also provides a knowledge-based software engineering approach to integrate the scattered knowledge processing procedures systematically and reusable.