poster

Are learned topics more useful than subject headings

Authors:

Youn Noh,

Katrina Hagedorn,

David NewmanAuthors Info & Claims

JCDL '11: Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries

Pages 411 - 412

https://doi.org/10.1145/1998076.1998160

Published: 13 June 2011 Publication History

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Abstract

Topic models, through their ability to automatically learn and assign topics to documents in a collection, have the potential to greatly improve how content is organized and searched in digital libraries. However, much remains to be done to assess the value of topic models in digital library applications. In this work, we present results from a user study, in which participants evaluated the similarity of books clustered using matched topics and Library of Congress Subject Headings (LCSH). Topics outperformed LCSH in 11 cases; LCSH outperformed topics in 4. These results suggest that topics are a viable alternative to LCSH.

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Newman, D., Hagedorn, K., Chemudugunta, C., and Smyth, P. 2007. Subject metadata enrichment using statistical topic models. In Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '07). ACM, New York, NY, USA, 366--375. DOI=10.1145/1255175.1255248 http://doi.acm.org/10.1145/1255175.1255248.

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Cited By

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Nazemi KBurkhardt DKock A(2021)Visual analytics for technology and innovation managementMultimedia Tools and Applications10.1007/s11042-021-10972-381:11(14803-14830)Online publication date: 20-May-2021
https://doi.org/10.1007/s11042-021-10972-3
Nazemi KBurkhardt D(2019)Visual Analytics for Analyzing Technological Trends from Text2019 23rd International Conference Information Visualisation (IV)10.1109/IV.2019.00041(191-200)Online publication date: Jul-2019
https://doi.org/10.1109/IV.2019.00041
Papachristopoulos LTsakonas GBoudourides MSfakakis MKleidis NLenis SPapatheodorou C(2019)Discovering the structure and impact of the digital library evaluation domainInternational Journal on Digital Libraries10.1007/s00799-017-0222-x20:2(125-141)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s00799-017-0222-x
Show More Cited By

Index Terms

Are learned topics more useful than subject headings
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Clustering and classification
  2. Information systems applications
    1. Data mining
      1. Clustering
    2. Digital libraries and archives

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Information & Contributors

Information

Published In

JCDL '11: Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries

June 2011

500 pages

ISBN:9781450307444

DOI:10.1145/1998076

General Chair:
Glen Newton
Carleton University, Canada
,
Program Chairs:
Michael Wright
UCAR/NCAR, USA
,
Lillian Cassel
Villanova University, USA

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 June 2011

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JCDL '11

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JCDL '11: Joint Conference on Digital Libraries

June 13 - 17, 2011

Ontario, Ottawa, Canada

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Overall Acceptance Rate 415 of 1,482 submissions, 28%

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The 2024 ACM/IEEE Joint Conference on Digital Libraries

December 16 - 20, 2024

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Cited By

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Nazemi KBurkhardt DKock A(2021)Visual analytics for technology and innovation managementMultimedia Tools and Applications10.1007/s11042-021-10972-381:11(14803-14830)Online publication date: 20-May-2021
https://doi.org/10.1007/s11042-021-10972-3
Nazemi KBurkhardt D(2019)Visual Analytics for Analyzing Technological Trends from Text2019 23rd International Conference Information Visualisation (IV)10.1109/IV.2019.00041(191-200)Online publication date: Jul-2019
https://doi.org/10.1109/IV.2019.00041
Papachristopoulos LTsakonas GBoudourides MSfakakis MKleidis NLenis SPapatheodorou C(2019)Discovering the structure and impact of the digital library evaluation domainInternational Journal on Digital Libraries10.1007/s00799-017-0222-x20:2(125-141)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s00799-017-0222-x
Zheng HChen XDuan X(2019)An Overview of Altmetrics Research: A Typology ApproachDigital Libraries at the Crossroads of Digital Information for the Future10.1007/978-3-030-34058-2_4(33-39)Online publication date: 4-Nov-2019
https://dl.acm.org/doi/10.1007/978-3-030-34058-2_4
Nazemi KRetz RBurkhardt DKuijper AKohlhammer JFellner DLindstaedt SLey TSack H(2015)Visual trend analysis with digital librariesProceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business10.1145/2809563.2809569(1-8)Online publication date: 21-Oct-2015
https://dl.acm.org/doi/10.1145/2809563.2809569
Papachristopoulos LKleidis NSfakakis MTsakonas GPapatheodorou C(2015)Discovering the Topical Evolution of the Digital Library Evaluation CommunityMetadata and Semantics Research10.1007/978-3-319-24129-6_9(101-112)Online publication date: 3-Nov-2015
https://doi.org/10.1007/978-3-319-24129-6_9

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