Semantic Publishing Challenge - Assessing the Quality of Scientific Output by Information Extraction and Interlinking

被引：7
|
作者：
Di Iorio, Angelo [1 ]
Lange, Christoph [2 ,3 ]
Dimou, Anastasia [4 ]
Vahdati, Sahar [2 ]
机构：
[1] Univ Bologna, Bologna, Italy
[2] Univ Bonn, Bonn, Germany
[3] Fraunhofer IAIS, Bonn, Germany
[4] Univ Ghent, iMinds, Multimedia Lab, B-9000 Ghent, Belgium
来源：
SEMANTIC WEB EVALUATION CHALLENGES | 2015年 / 548卷
关键词：
D O I：
10.1007/978-3-319-25518-7_6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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 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.
引用
收藏
页码：65 / 80
页数：16
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