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Diversity, divergence, dialogue : 16th international conference, iConference 2021, Beijing, China, March 17-31, 2021 : proceedings. iConference (Conference) (16th : 2021 : Online)最新文献

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Exploration of Accuracy, Completeness and Consistency in Metadata for Physical Objects in Museum Collections 博物馆馆藏实物元数据的准确性、完整性和一致性探讨
Vyacheslav Zavalin, Oksana L. Zavalina
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引用次数: 0
Caring for People, Caring for Their Data: Data Stewardship and Collaborative Care in Social Service Provision for People Experiencing Homelessness 关心人,关心他们的数据:为无家可归者提供社会服务中的数据管理和协作关怀
S. Slota, K. Fleischmann, Sherri R. Greenberg
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引用次数: 0
Enabling Knowledge Management Practices in Museums: The Benefits of and Barriers to Achieving Public Value 推动博物馆的知识管理实践:实现公共价值的好处和障碍
Neville Vakharia, A. H. Poole
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引用次数: 0
Fighting Misinformation: Where Are We and Where to Go? 打击错误信息:我们在哪里,我们要去哪里?
Huyen Nguyen, Lydia Ogbadu-Oladapo, Irhamni Ali, Haihua Chen, Jiangping Chen
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引用次数: 2
Your Online Favorites are Overwhelming When You're Having Fun: An Investigation of Fear of Missing Out, Social Media Affordances and Digital Hoarding 当你玩得开心时,你的网上收藏的东西会压倒你:一项关于错过恐惧、社交媒体支持和数字囤积的调查
Dawei Wu, Y. Zhao, Xiaolun Wang, Jingwen Lian
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引用次数: 0
The Conceptualization of Digital Inclusion in Government Policy: A Qualitative Content Analysis 政府政策中数字包容的概念化:定性内容分析
Kaitlin Wiley, A. Goulding
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引用次数: 0
How Inclusive Are the International Conferences? Attending Conferences in an Unequal World 国际会议的包容性如何?在一个不平等的世界参加会议
Güleda Doğan, Zehra Taşkın, Emanuel Kulczycki, Krystian Szadkowski
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引用次数: 0
"Will the Day Ever Come When We Will Be Judged on Our Merit and not on Our Blackness?" The Black Caucus of the American Library Association and the Long Freedom Struggle in the United States, 1970-1975 “评判我们的依据是我们的功绩,而不是我们的肤色,这一天会到来吗?”美国图书馆协会的黑人核心小组与美国长期的自由斗争,1970-1975
A. H. Poole
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引用次数: 0
Dublin Core Metadata Created by Kuwaiti Students: Exploration of Quality in Context 科威特学生创建的都柏林核心元数据:探索上下文中的质量
Saleh H. Aljalahmah, Oksana L. Zavalina
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引用次数: 0
Aligning Visual and Lexical Semantics 对齐视觉和词汇语义
Fausto Giunchiglia, Mayukh Bagchi, Xiaolei Diao
We discuss two kinds of semantics relevant to Computer Vision (CV) systems - Visual Semantics and Lexical Semantics. While visual semantics focus on how humans build concepts when using vision to perceive a target reality, lexical semantics focus on how humans build concepts of the same target reality through the use of language. The lack of coincidence between visual and lexical semantics, in turn, has a major impact on CV systems in the form of the Semantic Gap Problem (SGP). The paper, while extensively exemplifying the lack of coincidence as above, introduces a general, domain-agnostic methodology to enforce alignment between visual and lexical semantics.
我们讨论了与计算机视觉(CV)系统相关的两种语义——视觉语义和词汇语义。视觉语义学关注的是人类在使用视觉感知目标现实时如何构建概念,而词汇语义学关注的是人类如何通过使用语言构建相同目标现实的概念。视觉语义和词汇语义之间缺乏一致性,反过来又以语义缺口问题(SGP)的形式对CV系统产生重大影响。本文虽然广泛地举例说明了上述巧合的缺乏,但引入了一种通用的、领域不可知论的方法来强制视觉语义和词汇语义之间的对齐。
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引用次数: 3
期刊
Diversity, divergence, dialogue : 16th international conference, iConference 2021, Beijing, China, March 17-31, 2021 : proceedings. iConference (Conference) (16th : 2021 : Online)
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