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2014 IEEE/ACM Joint Conference on Digital Libraries (JCDL) (2014)
London, United Kingdom
Sept. 8, 2014 to Sept. 12, 2014
ISBN: 978-1-4799-5569-5
pp: 225-228
Hung-Hsuan Chen , Computational Intelligence Technology Center, Industrial Technology Research Institute, Hsinchu, Taiwan
Madian Khabsa , Computer Science and Engineering, The Pennsylvania State University, University Park, US
C. Lee Giles , Computer Science and Engineering, The Pennsylvania State University, University Park, US
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.
INDEX TERMS
Libraries, Portable document format, Manuals, Indexes, Data mining, Joints
CITATION

H. Chen, M. Khabsa and C. L. Giles, "The feasibility of investing in manual correction of metadata for a large-scale digital library," 2014 IEEE/ACM Joint Conference on Digital Libraries (JCDL), London, United Kingdom, 2014, pp. 225-228.
doi:10.1109/JCDL.2014.6970172
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