DocumentCode
3524852
Title
Taxonomies for automated question triage in digital reference
Author
Pomerantz, Jeffrey ; Lankes, R.D.
Author_Institution
Sch. of Inf. Studies, Syracuse Univ., NY, USA
fYear
2003
fDate
31-31 May 2003
Firstpage
119
Lastpage
121
Abstract
We identify (1) several taxonomies of questions at different levels of linguistic analysis, according to which questions received by digital reference services are classified, and (2) a simple categorization of triage recipients. The utility of these taxonomies and categorizations of triage recipients is discussed as the basis for systems for automating triage and other steps in the digital reference process.
Keywords
Internet; classification; computational linguistics; digital libraries; information retrieval; library automation; automated question triage; digital reference process; linguistic analysis; question taxonomy; triage recipient categorization; Computer science; Computer science education; Convergence; Databases; Electronic learning; Information analysis; Knowledge management; Management information systems; Software libraries; Technological innovation;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Libraries, 2003. Proceedings. 2003 Joint Conference on
Conference_Location
Houston, TX, USA
Print_ISBN
0-7695-1939-3
Type
conf
DOI
10.1109/JCDL.2003.1204907
Filename
1204907
Link To Document