Document (#31948)

Author
Tsai, B.-s.
Title
¬A theory of information genetics : how four subforces generate information and the implications for Total Quality Knowledge Management
Source
Library trends. 50(2002) no.3, S.521-552
Year
2002
Abstract
This essay proposes a model called information genetics (IG) to elaborate on the origin of information generating. The model builds on a broad information generating force that is both cause and effect. Part I of this essay postulates this information generating force as the result of the interaction and intermediation among four subforces: Query, command, statement, and term-term bond. These subforces are described by a process called twisting-bonding/clipping-jointing. The effect of this process is elaborated by: (1) Analyzing the Information Generating Model (IGM); (2) Transfiguring the Möbius Strip into the Möbius Twist Model; and (3) Demonstrating the process of the Clipping-Jointing Model. These three models are defined, exemplified, and described in detail. In Part II, a Fuzzy Commonality Model (FCM) is introduced to describe and explain the formation of a network curvature and to measure the dynamics of the twisting-bonding/clipping-jointing process within any special subject information field. In Part III, a software program is developed through the FCM for citation data mining, infomapping, and information repackaging--the three key elements in total quality knowledge management (TQKM). The conceptual and data models are supported by practical examples and statistical data. Several information flows are displayed in parallel to show their twisting-bonding/clipping-jointing interaction and intermediation relationships. This paper discusses the significance and advantages of the information genetics models and their approachability and applicability for TQKM in infomapping and Web information representation. The meaning of the information genetics models is also examined from a global perspective.
Footnote
Artikel in einem Themenheft "Current theory in library and information science"

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