CLC number: TP391
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2010-09-01
Cited: 1
Clicked: 7837
Biligsaikhan Batjargal, Fuminori Kimura, Akira Maeda. Providing universal access to Japanese humanities digital libraries: an approach to federated searching system using automatic metadata mapping[J]. Journal of Zhejiang University Science C, 2010, 11(11): 837-843.
@article{title="Providing universal access to Japanese humanities digital libraries: an approach to federated searching system using automatic metadata mapping",
author="Biligsaikhan Batjargal, Fuminori Kimura, Akira Maeda",
journal="Journal of Zhejiang University Science C",
volume="11",
number="11",
pages="837-843",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1001001"
}
%0 Journal Article
%T Providing universal access to Japanese humanities digital libraries: an approach to federated searching system using automatic metadata mapping
%A Biligsaikhan Batjargal
%A Fuminori Kimura
%A Akira Maeda
%J Journal of Zhejiang University SCIENCE C
%V 11
%N 11
%P 837-843
%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1001001
TY - JOUR
T1 - Providing universal access to Japanese humanities digital libraries: an approach to federated searching system using automatic metadata mapping
A1 - Biligsaikhan Batjargal
A1 - Fuminori Kimura
A1 - Akira Maeda
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 11
SP - 837
EP - 843
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1001001
Abstract: We present our approach for constructing a federated searching system for Japanese humanities digital libraries using automatic metadata mapping. We discuss some achievements in the ongoing research to construct a federated searching system. The goals of this system are (1) to perform metadata mapping automatically for Japanese heterogeneous humanities digital libraries and (2) to let users access multiple humanities digital libraries by using only one query input. The proposed automatic metadata mapping method produced the average mapping precision of 94.9%. We also address the metadata-related challenges facing Japanese humanities databases.
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