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Titlebook: Digital Libraries at the Crossroads of Digital Information for the Future; 21st International C Adam Jatowt,Akira Maeda,Sue Yeon Syn Confer

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发表于 2025-3-21 17:46:31 | 显示全部楼层 |阅读模式
书目名称Digital Libraries at the Crossroads of Digital Information for the Future
副标题21st International C
编辑Adam Jatowt,Akira Maeda,Sue Yeon Syn
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Digital Libraries at the Crossroads of Digital Information for the Future; 21st International C Adam Jatowt,Akira Maeda,Sue Yeon Syn Confer
描述This book constitutes the refereed proceedings of the 21st International Conference on Asia-Pacific Digital Libraries, ICADL 2019, held in Kuala Lumpur, Malaysia, in November 2019..The 13 full, 13 short, and 5 poster papers presented in this volume were carefully reviewed and selected from 54 submissions. The papers were organized in topical sections named: text classification; altmetrics; scholarly data analysis and recommendation; metadata and entities; digital libraries and digital archives management; multimedia processing; search engines; information extraction; and posters..
出版日期Conference proceedings 2019
关键词artificial intelligence; computer network; computer systems; computer vision; data mining; databases; digi
版次1
doihttps://doi.org/10.1007/978-3-030-34058-2
isbn_softcover978-3-030-34057-5
isbn_ebook978-3-030-34058-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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https://doi.org/10.1007/978-3-030-34058-2artificial intelligence; computer network; computer systems; computer vision; data mining; databases; digi
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https://doi.org/10.1007/978-3-476-05303-9r holds more scholarly and scientific discussions than other social media platforms and is extensively used to discuss and share research articles by domain experts as well as by the general public. In this study, we have analyzed the motivations of people using Twitter as a medium to propagate the
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https://doi.org/10.1007/978-3-476-05303-93,253 tweets extracted from 857 journal accounts, were analyzed in this study. Findings indicate that SCI journals interacted more with each other but much less with journals from other citation indices. The network structure of the communication graph resembled a tight crowd network, with Nature jo
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