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 their quality. The objective of this second edition was to improve information extraction but also to interlink the 2014 dataset with related ones in the LOD Cloud, thus paving the way for sophisticated end-user services.
Di Iorio, A., Lange, C., Dimou, A., Vahdati, S. (2015). Semantic publishing challenge – assessing the quality of scientific output by information extraction and interlinking. Berlin : Springer Verlag [10.1007/978-3-319-25518-7_6].
Semantic publishing challenge – assessing the quality of scientific output by information extraction and interlinking
DI IORIO, ANGELO;
2015
Abstract
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 their quality. The objective of this second edition was to improve information extraction but also to interlink the 2014 dataset with related ones in the LOD Cloud, thus paving the way for sophisticated end-user services.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.