Toward Enhanced Metadata Quality of Large-Scale Digital Libraries: Estimating Volume Time Range

Guo, Siyuan; Edelblute, Trevor; Dai, Bin; Chen, Miao; Liu, Xiaozhong

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https://hdl.handle.net/2142/73656 Copy

Description

Title

Toward Enhanced Metadata Quality of Large-Scale Digital Libraries: Estimating Volume Time Range

Author(s)

• Guo, Siyuan
• Edelblute, Trevor
• Dai, Bin
• Chen, Miao
• Liu, Xiaozhong

Issue Date

2015-03-15

Keyword(s)

• data analytics and evaluation
• information organization and metadata
• text/data/knowledge mining

Abstract

"In large-scale digital libraries, it is not uncommon that some bibliographic fields in metadata records are incomplete or missing. Adding to the incomplete or missing metadata can greatly facilitate users' search and access to digital library resources. Temporal information, such as publication date, is a key descriptor of digital resources. In this study, we investigate text mining methods to automatically resolve missing publication dates for the HathiTrust corpora, a large collection of documents digitized by optical character recognition (OCR). In comparison with previous approaches using only unigrams as features, our experiment results show that methods incorporating higher order n-gram features, e.g., bigrams and trigrams, can more effectively classify a document into discrete temporal intervals or ""chronons"". Our approach can be generalized to classify volumes within other digital libraries."

Publisher

iSchools

Series/Report Name or Number

iConference 2015 Proceedings

Type of Resource

text

Language

English

Permalink

http://hdl.handle.net/2142/73656

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Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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