Explaining and alleviating information management indeterminism: A knowledge-based framework

Hsinchun Chen, A. K. Danowitz, K. J. Lynch, S. E. Goodman, W. K. McHenry

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Our research attempted to identify the nature and causes of information management indeterminism in an online research environment and to propose solutions for alleviating this indeterminism. We conducted two empirical studies of information management activities. The first study identified the types and nature of information management indeterminism by evaluating archived texts. The second study focused on four sources of indeterminism: subject area knowledge, classification knowledge, system knowledge, and collaboration knowledge. A knowledge-based design for alleviating indeterminism, which contains a system-generated thesaurus and an inferencing engine, is also proposed in this article.

Original languageEnglish (US)
Pages (from-to)557-577
Number of pages21
JournalInformation Processing and Management
Volume30
Issue number4
DOIs
StatePublished - 1994

Fingerprint

information management
Information management
knowledge
Thesauri
thesaurus
Engines
cause
Knowledge-based

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Library and Information Sciences

Cite this

Explaining and alleviating information management indeterminism : A knowledge-based framework. / Chen, Hsinchun; Danowitz, A. K.; Lynch, K. J.; Goodman, S. E.; McHenry, W. K.

In: Information Processing and Management, Vol. 30, No. 4, 1994, p. 557-577.

Research output: Contribution to journalArticle

Chen, Hsinchun ; Danowitz, A. K. ; Lynch, K. J. ; Goodman, S. E. ; McHenry, W. K. / Explaining and alleviating information management indeterminism : A knowledge-based framework. In: Information Processing and Management. 1994 ; Vol. 30, No. 4. pp. 557-577.
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