Semantic Publishing Challenge – Assessing the Quality of Scientific Output
作者： Christoph Lange , Angelo Di Iorio
DOI: 10.1007/978-3-319-12024-9_8
关键词:
摘要: Linked Open Datasets about scholarly publications enable the development and integration of sophisticated end-user services; however, richer datasets are still needed. The first goal this Challenge was to investigate novel approaches obtain such semantic data. In particular, we were seeking methods tools extract information from publications, publish it as LOD, use queries over LOD assess quality. This year focused on quality workshop proceedings, journal articles w.r.t. their citation network. A third, open task, asked showcase how data could be exploited Semantic Web technologies help in emerging context.
springer.com
core.ac.uk
arxiv.org
sci-hub.st 参考文章(16)
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