Online Query Refinement on Information Retrieval Systems: A Process Model of Searched System Interactions

Persistent Link:
http://hdl.handle.net/10150/105597
Title:
Online Query Refinement on Information Retrieval Systems: A Process Model of Searched System Interactions
Author:
Chen, Hsinchun; Dhar, Vasant
Citation:
Online Query Refinement on Information Retrieval Systems: A Process Model of Searched System Interactions 1990, 90(9):115-133
Publisher:
ACM
Issue Date:
1990
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/105597
Submitted date:
2004-09-20
Abstract:
This article reports findings of empirical research that investigated information searchers online query refinement process. Prior studies have recognized the information specialists' role in helping searchers articulate and refine queries. Using a semantic network and a Problem Behavior Graph to represent the online search our study revealed that searchers also refined their own queries in an online task environment. The information retrieval system played a passive role in assisting online query refinement, which was, however, one that confirmed Taylor's four-level query formulation model. Based on our empirical findings, we proposed using process model to facilitate and improve query refinement in an online environment. We believe incorporating this model into retrieval systems can result in the design of more "intelligent" and useful information retrieval systems.
Type:
Conference Paper
Language:
en
Keywords:
Human Computer Interaction; Information Extraction
Local subject classification:
National Science Digital Library; NSDL; Artificial intelligence lab; AI lab; Information retrieval

Full metadata record

DC FieldValue Language
dc.contributor.authorChen, Hsinchunen_US
dc.contributor.authorDhar, Vasanten_US
dc.date.accessioned2004-09-20T00:00:01Z-
dc.date.available2010-06-18T23:28:01Z-
dc.date.issued1990en_US
dc.date.submitted2004-09-20en_US
dc.identifier.citationOnline Query Refinement on Information Retrieval Systems: A Process Model of Searched System Interactions 1990, 90(9):115-133en_US
dc.identifier.urihttp://hdl.handle.net/10150/105597-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractThis article reports findings of empirical research that investigated information searchers online query refinement process. Prior studies have recognized the information specialists' role in helping searchers articulate and refine queries. Using a semantic network and a Problem Behavior Graph to represent the online search our study revealed that searchers also refined their own queries in an online task environment. The information retrieval system played a passive role in assisting online query refinement, which was, however, one that confirmed Taylor's four-level query formulation model. Based on our empirical findings, we proposed using process model to facilitate and improve query refinement in an online environment. We believe incorporating this model into retrieval systems can result in the design of more "intelligent" and useful information retrieval systems.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.subjectHuman Computer Interactionen_US
dc.subjectInformation Extractionen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherInformation retrievalen_US
dc.titleOnline Query Refinement on Information Retrieval Systems: A Process Model of Searched System Interactionsen_US
dc.typeConference Paperen_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.