Return to search

Explaining and Alleviating Information Management Indeterminism: A Knowledge-based Framework

Artificial Intelligence Lab, Department of MIS, University of Arizona / 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.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105236
Date07 1900
CreatorsChen, Hsinchun, Danowitz, A.K., Lynch, K.J., Goodman, S.E., McHenry, W.K.
PublisherElsevier
Source SetsUniversity of Arizona
LanguageEnglish
Detected LanguageEnglish
TypeJournal Article (Paginated)

Page generated in 0.0021 seconds