A Knowledge-Based Approach to the Design of Document-Based Retrieval Systems

Persistent Link:
http://hdl.handle.net/10150/106486
Title:
A Knowledge-Based Approach to the Design of Document-Based Retrieval Systems
Author:
Chen, Hsinchun; Dhar, Vasant
Citation:
A Knowledge-Based Approach to the Design of Document-Based Retrieval Systems 1990, :281-290
Publisher:
ACM
Issue Date:
1990
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/106486
Submitted date:
2004-09-20
Abstract:
This article presents a knowledge-based approach to the design of document-based retrieval systems. We conducted two empirical studies investigating the users' behavior using an online catalog. The studies revcaled a range of knowledge elements which are necessary for performing a successful search. We proposed a semantic network based representation to capture these knowledge elements. The findings we derived from our empirical studies were used to construct a knowledge-based retrieval system. We performed a laboratory experiment to calculate the search performance of our system. The experiment showed that our system out-performed a conventional retrieval system in recall and user satisfaction. The implications of our study to the design of document-based retrieval systems are also discussed in this article.
Type:
Conference Paper
Language:
en
Keywords:
Information Seeking Behaviors; 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.available2010-06-18T23:48:20Z-
dc.date.issued1990en_US
dc.date.submitted2004-09-20en_US
dc.identifier.citationA Knowledge-Based Approach to the Design of Document-Based Retrieval Systems 1990, :281-290en_US
dc.identifier.urihttp://hdl.handle.net/10150/106486-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractThis article presents a knowledge-based approach to the design of document-based retrieval systems. We conducted two empirical studies investigating the users' behavior using an online catalog. The studies revcaled a range of knowledge elements which are necessary for performing a successful search. We proposed a semantic network based representation to capture these knowledge elements. The findings we derived from our empirical studies were used to construct a knowledge-based retrieval system. We performed a laboratory experiment to calculate the search performance of our system. The experiment showed that our system out-performed a conventional retrieval system in recall and user satisfaction. The implications of our study to the design of document-based retrieval systems are also discussed in this article.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.subjectInformation Seeking Behaviorsen_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.titleA Knowledge-Based Approach to the Design of Document-Based Retrieval Systemsen_US
dc.typeConference Paperen_US
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