Editorial: Special issue on Semantic eScience: Methods, tools and applications

被引：0
|
作者：
Garijo, Daniel [1 ]
Villanueva-Rosales, Natalia [2 ]
Kauppinen, Tomi [3 ]
机构：
[1] Univ Southern Calif, Inst Informat Sci, Los Angeles, CA 90007 USA
[2] Univ Texas El Paso, Dept Comp Sci, El Paso, TX 79968 USA
[3] Aalto Univ, Espoo, Finland
来源：
SEMANTIC WEB | 2020年 / 11卷 / 05期
关键词：
D O I：
10.3233/SW-200380
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Openly shared, available, and accessible scientific resources facilitate tackling grand challenges that our society, organizations, communities and individuals are facing today. Pandemics, climate change, environmental modeling, genomics, or space exploration all create open research questions for which Artificial Intelligence - and Semantic Web in particular have a unique potential to accelerate scientific discoveries. In this editorial, we introduce a special issue on Semantic eScience methods, tools and applications for the Semantic Web Journal and outline five challenges for Semantic eScience in the years to come.
引用
收藏
页码：731 / 733
页数：3
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