Towards Linked Research Data: an Institutional Approach
Towards Linked Research Data: an Institutional Approach
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走向关联研究数据：制度方法
DOI：
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发表时间：
2013
期刊：
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通讯作者：
P. Cimiano
中科院分区：
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作者：
Cord Wiljes;N. Jahn;Florian Lier;Thilo Paul;Johanna Vompras;Christian Pietsch;P. Cimiano
为了使开放科学得到广泛采用，对科学家的强有力的机构支持至关重要。比勒费尔德大学和相关的认知交互技术卓越中心（CITEC）开发了一个平台，使研究人员能够以简单有效的方式管理他们的出版物和基础研究数据。按照关联数据的方法，我们将这些数据集成到一个统一的链接数据存储中，并将其与来自大学内部和DBpedia等外部来源的其他数据源互连。在现有平台的基础上，实现了一个生物学领域的具体案例研究，发布了竹节虫运动的光学运动跟踪数据。我们调查这样一个详细的，特定于域的语义丰富的成本和有用性，以评估这种方法是否可以考虑大规模部署。
For Open Science to be widely adopted, a strong institutional support for scientists will be essential. Bielefeld University and the associated Center of Excellence Cognitive Interaction Technology (CITEC) have developed a platform that enables researchers to manage their publications and the underlying research data in an easy and efficient way. Following a Linked Data approach we integrate this data into a unified linked data store and interlink it with additional data sources from inside the university and outside sources like DBpedia. Based on the existing platform, a concrete case study from the domain of biology is implemented that releases optical motion tracking data of stick insect locomotion. We investigate the cost and usefulness of such a detailed, domain-specific semantic enrichment in order to evaluate whether this approach might be considered for large-scale deployment.