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Hidden features identification for designing an efficient research article recommendation system 基于隐特征识别的高效论文推荐系统设计
IF 1.5 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2021-04-30 DOI: 10.1007/s00799-021-00301-2
Arpita Chaudhuri, Nilanjan Sinhababu, M. Sarma, D. Samanta
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引用次数: 7
Automatically evaluating the quality of textual descriptions in cultural heritage records 文化遗产记录文本描述质量的自动评价
IF 1.5 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2021-04-23 DOI: 10.1007/s00799-021-00302-1
M. Lorenzini, M. Rospocher, Sara Tonelli
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引用次数: 0
A qualitative study of large-scale recommendation algorithms for biomedical knowledge bases 生物医学知识库大规模推荐算法的定性研究
IF 1.5 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2021-04-19 DOI: 10.1007/s00799-021-00300-3
Ehsan Noei, Tsahi Hayat, J. Perrie, R. Çolak, Yanqi Hao, Shankar Vembu, Kelly A. Lyons, Sam Molyneux
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引用次数: 1
Data-Seeking Behaviour in the Social Sciences 社会科学中的数据寻求行为
IF 1.5 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2021-04-18 DOI: 10.1007/s00799-021-00303-0
Thomas Krämer, A. Papenmeier, Zeljko Carevic, Dagmar Kern, Brigitte Mathiak
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引用次数: 22
Data quality assessment in digital score libraries 数字分数库中的数据质量评估
IF 1.5 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2021-03-21 DOI: 10.1007/s00799-021-00299-7
Francesco Foscarin, P. Rigaux, Virginie Thion
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引用次数: 4
Analysing the requirements for an Open Research Knowledge Graph: use cases, quality requirements, and construction strategies 分析开放研究知识图谱的需求:用例、质量需求和构建策略
IF 1.5 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2021-02-11 DOI: 10.1007/s00799-021-00306-x
Arthur Brack, Anett Hoppe, M. Stocker, S. Auer, R. Ewerth
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引用次数: 9
What is all this new MeSH about? 这些新的MeSH是关于什么的?
IF 1.5 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2021-01-21 DOI: 10.1007/s00799-021-00304-z
A. Nentidis, Anastasia Krithara, Grigorios Tsoumakas, G. Paliouras
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引用次数: 6
A user-transaction-based recommendation strategy for an educational digital library 基于用户交易的教育数字图书馆推荐策略
IF 1.5 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2021-01-18 DOI: 10.1007/s00799-021-00298-8
G. Kortemeyer, Stefan Dröschler
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引用次数: 5
Building an archaeological data repository: a digital library and digital humanities collaboration at the University of South Florida 建立一个考古数据存储库:南佛罗里达大学的数字图书馆和数字人文学科合作
IF 1.5 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2021-01-11 DOI: 10.1007/s00799-020-00297-1
Xiying Mi, Richard R. Bernardy, LeEtta M. Schmidt
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引用次数: 1
FAIR data for prehistoric mining archaeology. 史前采矿考古的FAIR数据。
IF 1.7 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2021-01-01 Epub Date: 2020-01-23 DOI: 10.1007/s00799-020-00282-8
Gerald Hiebel, Gert Goldenberg, Caroline Grutsch, Klaus Hanke, Markus Staudt

This paper presents an approach how to create FAIR data for prehistoric mining archaeology, based on the CIDOC CRM ontology and semantic web standards. The interdisciplinary Research Centre HiMAT (History of mining activities in the Tyrol and adjacent areas, University of Innsbruck) investigates mining history from prehistoric to modern times with an interdisciplinary approach. One of the projects carried out at the research centre is the multinational DACH project "Prehistoric copper production in the eastern and central Alps". For a specific geographical region of the project, the data transformation to open and re-usable data is investigated in a separate Open Research Data pilot project. The methodological approach will use the FAIR principles to make data Findable, Accessible, Interoperable and Re-usable. Every archaeological investigation in Austria has to be documented according to the requirements of the Austrian Federal Monuments Office. This documentation is deposited in the CERN-based EU supported research data repository ZENODO. For each deposited file, metadata are created through the application of the conceptual metadata schema CIDOC CRM, an ISO standard for Cultural Heritage Information, which was adopted by ARIADNE, the European Union Research Infrastructure for archaeological resources. Concepts specific to mining archaeology research are organized with the DARIAH Back Bone Thesaurus, a model for sustainable interoperable thesauri maintenance, developed in the European Union Digital Research Infrastructure for the Arts and Humanities. Metadata are created through the extraction of information from the documentation and the transformation to a knowledge graph using semantic web standards. To facilitate usage, graph data are exported to hierarchical and tabular formats representing sites and objects with their geographic locations, temporal and typological assignments and links to the research activities and documents. Metadata are deposited together with the documentation into the repository.

本文提出了一种基于cdoc CRM本体和语义web标准的史前采矿考古FAIR数据创建方法。跨学科研究中心HiMAT(蒂罗尔和邻近地区的采矿活动历史,因斯布鲁克大学)用跨学科的方法调查从史前到现代的采矿历史。在研究中心进行的项目之一是跨国DACH项目“阿尔卑斯山东部和中部的史前铜生产”。对于项目的特定地理区域,在一个单独的开放研究数据试点项目中调查了向开放和可重用数据的数据转换。方法方法将使用FAIR原则使数据可查找、可访问、可互操作和可重用。奥地利的每一次考古调查都必须按照奥地利联邦古迹办事处的要求记录在案。该文档存储在基于cern的欧盟支持的研究数据存储库ZENODO中。对于每个存放的文件,通过应用概念元数据模式CIDOC CRM创建元数据,这是一种文化遗产信息的ISO标准,已被ARIADNE(欧盟考古资源研究基础设施)采用。具体到采矿考古研究的概念是与DARIAH脊骨同义词典组织的,DARIAH脊骨同义词典是可持续的可互操作的同义词典维护模型,在欧盟为艺术和人文学科开发的数字研究基础设施。元数据是通过从文档中提取信息并使用语义web标准转换为知识图来创建的。为了方便使用,图形数据被导出为分层和表格格式,表示地点和对象及其地理位置、时间和类型分配以及与研究活动和文件的链接。元数据与文档一起存储到存储库中。
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引用次数: 0
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International Journal on Digital Libraries
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