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
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;
Conference_Titel :
Digital Libraries, 2003. Proceedings. 2003 Joint Conference on
Conference_Location :
Houston, TX, USA
Print_ISBN :
0-7695-1939-3
DOI :
10.1109/JCDL.2003.1204907
