Interactive term suggestion for users of digital libraries

Using subject thesauri and co-occurrence lists for information retrieval

Bruce R. Schatz, Eric H. Johnson, Pauline A. Cochrane, Hsinchun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

50 Citations (Scopus)

Abstract

The basic problem in information retrieval is that large-scale searches can only match terms specified by the user to terms appearing in documents in the digital library collection. Intermediate sources that support term suggestion can thus enhance retrieval by providing alternative search terms for the user. Term suggestion increases the recall, while interaction enables the user to attempt to not decrease the precision. We are building a prototype user interface that will become the Web interface for the University of Illinois Digital Library Initiative (DLI) testbed. It supports the principle of multiple views, where different kinds of term suggestors can be used to complement search and each other. This paper discusses its operation with two complementary term suggestors, subject thesauri and co-occurrence lists, and compares their utility. Thesauri are generated by human indexers and place selected terms in a subject hierarchy. Co-occurrence lists are generated by computer and place all terms in frequency order of occurrence together. This paper concludes with a discussion of how multiple views can help provide good quality Search for the Net. This is a paper about the design of a retrieval system prototype that allows users to simultaneously combine terms offered by different suggestion techniques, not about comparing the merits of each in a systematic and controlled way. It offers no experimental results.

Original languageEnglish (US)
Title of host publicationProceedings of the ACM International Conference on Digital Libraries
PublisherACM
Pages126-133
Number of pages8
StatePublished - 1996
Externally publishedYes
EventProceedings of the 1996 1st ACM International Conference on Digital Libraries - Bethesda, MD, USA
Duration: Mar 20 1996Mar 23 1996

Other

OtherProceedings of the 1996 1st ACM International Conference on Digital Libraries
CityBethesda, MD, USA
Period3/20/963/23/96

Fingerprint

Thesauri
thesaurus
Digital libraries
Information retrieval
information retrieval
Testbeds
User interfaces
Interfaces (computer)
user interface
interaction

ASJC Scopus subject areas

  • Computer Science(all)
  • Social Sciences(all)

Cite this

Schatz, B. R., Johnson, E. H., Cochrane, P. A., & Chen, H. (1996). Interactive term suggestion for users of digital libraries: Using subject thesauri and co-occurrence lists for information retrieval. In Proceedings of the ACM International Conference on Digital Libraries (pp. 126-133). ACM.

Interactive term suggestion for users of digital libraries : Using subject thesauri and co-occurrence lists for information retrieval. / Schatz, Bruce R.; Johnson, Eric H.; Cochrane, Pauline A.; Chen, Hsinchun.

Proceedings of the ACM International Conference on Digital Libraries. ACM, 1996. p. 126-133.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Schatz, BR, Johnson, EH, Cochrane, PA & Chen, H 1996, Interactive term suggestion for users of digital libraries: Using subject thesauri and co-occurrence lists for information retrieval. in Proceedings of the ACM International Conference on Digital Libraries. ACM, pp. 126-133, Proceedings of the 1996 1st ACM International Conference on Digital Libraries, Bethesda, MD, USA, 3/20/96.
Schatz BR, Johnson EH, Cochrane PA, Chen H. Interactive term suggestion for users of digital libraries: Using subject thesauri and co-occurrence lists for information retrieval. In Proceedings of the ACM International Conference on Digital Libraries. ACM. 1996. p. 126-133
Schatz, Bruce R. ; Johnson, Eric H. ; Cochrane, Pauline A. ; Chen, Hsinchun. / Interactive term suggestion for users of digital libraries : Using subject thesauri and co-occurrence lists for information retrieval. Proceedings of the ACM International Conference on Digital Libraries. ACM, 1996. pp. 126-133
@inproceedings{e23c852d743844d89a9c37d298fe5e74,
title = "Interactive term suggestion for users of digital libraries: Using subject thesauri and co-occurrence lists for information retrieval",
abstract = "The basic problem in information retrieval is that large-scale searches can only match terms specified by the user to terms appearing in documents in the digital library collection. Intermediate sources that support term suggestion can thus enhance retrieval by providing alternative search terms for the user. Term suggestion increases the recall, while interaction enables the user to attempt to not decrease the precision. We are building a prototype user interface that will become the Web interface for the University of Illinois Digital Library Initiative (DLI) testbed. It supports the principle of multiple views, where different kinds of term suggestors can be used to complement search and each other. This paper discusses its operation with two complementary term suggestors, subject thesauri and co-occurrence lists, and compares their utility. Thesauri are generated by human indexers and place selected terms in a subject hierarchy. Co-occurrence lists are generated by computer and place all terms in frequency order of occurrence together. This paper concludes with a discussion of how multiple views can help provide good quality Search for the Net. This is a paper about the design of a retrieval system prototype that allows users to simultaneously combine terms offered by different suggestion techniques, not about comparing the merits of each in a systematic and controlled way. It offers no experimental results.",
author = "Schatz, {Bruce R.} and Johnson, {Eric H.} and Cochrane, {Pauline A.} and Hsinchun Chen",
year = "1996",
language = "English (US)",
pages = "126--133",
booktitle = "Proceedings of the ACM International Conference on Digital Libraries",
publisher = "ACM",

}

TY - GEN

T1 - Interactive term suggestion for users of digital libraries

T2 - Using subject thesauri and co-occurrence lists for information retrieval

AU - Schatz, Bruce R.

AU - Johnson, Eric H.

AU - Cochrane, Pauline A.

AU - Chen, Hsinchun

PY - 1996

Y1 - 1996

N2 - The basic problem in information retrieval is that large-scale searches can only match terms specified by the user to terms appearing in documents in the digital library collection. Intermediate sources that support term suggestion can thus enhance retrieval by providing alternative search terms for the user. Term suggestion increases the recall, while interaction enables the user to attempt to not decrease the precision. We are building a prototype user interface that will become the Web interface for the University of Illinois Digital Library Initiative (DLI) testbed. It supports the principle of multiple views, where different kinds of term suggestors can be used to complement search and each other. This paper discusses its operation with two complementary term suggestors, subject thesauri and co-occurrence lists, and compares their utility. Thesauri are generated by human indexers and place selected terms in a subject hierarchy. Co-occurrence lists are generated by computer and place all terms in frequency order of occurrence together. This paper concludes with a discussion of how multiple views can help provide good quality Search for the Net. This is a paper about the design of a retrieval system prototype that allows users to simultaneously combine terms offered by different suggestion techniques, not about comparing the merits of each in a systematic and controlled way. It offers no experimental results.

AB - The basic problem in information retrieval is that large-scale searches can only match terms specified by the user to terms appearing in documents in the digital library collection. Intermediate sources that support term suggestion can thus enhance retrieval by providing alternative search terms for the user. Term suggestion increases the recall, while interaction enables the user to attempt to not decrease the precision. We are building a prototype user interface that will become the Web interface for the University of Illinois Digital Library Initiative (DLI) testbed. It supports the principle of multiple views, where different kinds of term suggestors can be used to complement search and each other. This paper discusses its operation with two complementary term suggestors, subject thesauri and co-occurrence lists, and compares their utility. Thesauri are generated by human indexers and place selected terms in a subject hierarchy. Co-occurrence lists are generated by computer and place all terms in frequency order of occurrence together. This paper concludes with a discussion of how multiple views can help provide good quality Search for the Net. This is a paper about the design of a retrieval system prototype that allows users to simultaneously combine terms offered by different suggestion techniques, not about comparing the merits of each in a systematic and controlled way. It offers no experimental results.

UR - http://www.scopus.com/inward/record.url?scp=0029706783&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029706783&partnerID=8YFLogxK

M3 - Conference contribution

SP - 126

EP - 133

BT - Proceedings of the ACM International Conference on Digital Libraries

PB - ACM

ER -