Using an AI-based tool to categorize digitized textual forms of organizational memory

Digitized textual information is an increasingly common repository for organizational memory. This paper describes an AI-based tool that was developed at the University of Arizona which can be used to organize, categorize and extract digitized textual information from a group support system (GSS) ca...

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Bibliographic Details
Main Authors: Houston, A.L., Walsh, K.R.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Collaborative software
Data mining
Environmental factors
History
Humans
Information retrieval
Machine assisted indexing
Management information systems
Memory management
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Summary:Digitized textual information is an increasingly common repository for organizational memory. This paper describes an AI-based tool that was developed at the University of Arizona which can be used to organize, categorize and extract digitized textual information from a group support system (GSS) called GroupSystems V. The first sections describe two experiments which measured the tool's ability to categorize ideas and compared its performance with human facilitators. Later sections describe two field studies that used the tool with real organizations.
DOI:10.1109/HICSS.1996.493171