Q.E. Booker
University of Arizona
4 Papers
46 Citations
Q.E. Booker is an academic researcher from University of Arizona. The author has contributed to research in topics: The Internet & Knowledge-based systems. The author has an hindex of 4, co-authored 4 publications.
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Papers
ROD - toward rapid ontology development for underdeveloped domains
Lina Zhou,Q.E. Booker,Dongsong Zhang +2 more
- 07 Jan 2002
TL;DR: A rapid ontology development methodology that can be used to build ontology for underdeveloped domains and which intends to make the development process more efficient so that domain concepts and relations can be automatically discovered from large-scale semi-structured and unstructured textual resources.
Embedding facilitation in group support systems to manage distributed group behavior
A.V. Lopez,Q.E. Booker,N.S. Shkarayeva,Robert O. Briggs,Jay F. Nunamaker +4 more
- 07 Jan 2002
TL;DR: The concept of embedded facilitation is proposed, in which intelligent agent-based behavioral indicators are implanted into group support systems (GSSs) to serve as the "eyes and ears" of the facilitator, and where, based on these indicators, either automated repeatable processes are launched or thinkLets are suggested to the facilitators from which to select and launch processes.
Creating hybrid distributed learning environments by implementing distributed collaborative writing in traditional educational settings
TL;DR: In this article, the authors summarized three field experiments involving distributed collaborative writing in traditional educational settings creating a hybrid form of distributed education and found that specialized collaborative tools allowed for parallel work, group awareness, and coordination, providing substantial advantages over traditional word processors in DWC.
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Advanced question and answering systems for community development
Q.E. Booker,S. Farrar,M. McQuaid,A.V. Lopez +3 more
- 07 Jan 2002
TL;DR: It is proposed that one of the ways to alleviate the burden of knowledge transfer among practitioners is to build a large repository of community development practices and practitioner knowledge using video or automated slide shows and an intelligent agent question/answering system to simulate a conversation.
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