Paper Info
Title
The feasibility of investing in manual correction of metadata for a large-scale digital library
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.
Year
Venue
Keywords
2014
JCDL
practicability,digital libraries,digital library,document search queries,manual metadata correction,author search queries,metadata correction,user satisfaction,pdf file parsing,meta data,human-aided metadata generation,large-scale digital library,document handling,user experience,query processing,cite-seerx log files,data mining,indexes
Field
DocType
ISBN
Metadata repository,Metadata,User experience design,World Wide Web,Information retrieval,Computer science,Correctness,Digital library,Portable document format
Conference
978-1-4799-5569-5
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Hung-Hsuan Chen124616.71
Madian Khabsa223718.81
C. Lee Giles3111541549.48