Semantic Publishing Challenge – Assessing the Quality of Scientific Output by Information Extraction and Interlinking
作者： Angelo Di Iorio , Christoph Lange , Anastasia Dimou , Sahar Vahdati
DOI: 10.1007/978-3-319-25518-7_6
关键词:
摘要: The Semantic Publishing Challenge series aims at investigating novel approaches for improving scholarly publishing using Linked Data technology. In 2014 we had bootstrapped this effort with a focus on extracting information from non-semantic publications - computer science workshop proceedings volumes and their papers to assess quality. objective of second edition was improve extraction but also interlink the dataset related ones in LOD Cloud, thus paving way sophisticated end-user services.
springer.com
core.ac.uk
harvard.edu
sci-hub.st 参考文章(16)
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