The feasibility of investing in manual correction of metadata for a large-scale digital library

Hung Hsuan Chen, Madian Khabsa, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Given a large-scale digital library that automatically crawls and parses PDF files to generate metadata for documents and authors, we estimate the number of person-hours required to correct a small portion of the metadata, in the hope that a large portion of users can benefit from these corrections. We obtain users requests by analyzing Cite-SeerX's log files from September 2009 to March 2013. We found that the distribution of users requests for search is highly imbalanced: most document search queries and author search queries concentrate on a small set of terms. As a result, even for a large-scale digital library, we estimate it is affordable to invest a few person-hours to check the correctness of a few metadata, and thus provide benefits to a good portion of document search and author search requests.

Original languageEnglish
Title of host publication2014 IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages225-228
Number of pages4
ISBN (Electronic)9781479955695
DOIs
StatePublished - 1 Dec 2014
Event2014 14th IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014 - London, United Kingdom
Duration: 8 Sep 201412 Sep 2014

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996

Conference

Conference2014 14th IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014
Country/TerritoryUnited Kingdom
CityLondon
Period8/09/1412/09/14

Keywords

  • Digital Library
  • Human-Aided Metadata Generation
  • Metadata Correction
  • Practicability
  • User Experience
  • User Satisfaction

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