Crowd-sourcing Web Knowledge for Metadata Extraction

被引：0

作者：

Wu, Zhaohui ^{[1
]}

Huang, Wenyi ^{[2
]}

Liang, Chen ^{[2
]}

Giles, C. Lee ^{[1
,2
]}

机构：

[1] Penn State Univ, Comp Sci & Engn, University Pk, PA 16802 USA

[2] Penn State Univ, Informat Sci & Technol, University Pk, PA 16802 USA

来源：

2014 IEEE/ACM JOINT CONFERENCE ON DIGITAL LIBRARIES (JCDL) | 2014年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We explore a new metadata extraction framework without human annotators with the ground truth harvested from Web. A new training sample is selected based on not only the uncertainty and representativeness in the unlabeled pool, but also on its availability and credibility in Web knowledge bases. We construct a dataset of 4329 books with valid metadata and evaluate our approach using 5 Web book databases as oracles. Empirical results demonstrate its effectiveness and efficiency.

引用

页码：141 / 144

页数：4

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