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ORCIDData Science , Volume 1
Volume 1, Numbers 1-2, 2017
- Michel Dumontier
, Tobias Kuhn:
Data Science - Methods, infrastructure, and applications. 1-5 - Thomas Chadefaux:
Conflict forecasting and its limits. 7-17 - Lawrence E. Hunter:
Knowledge-based biomedical Data Science. 19-25 - Robert Hoehndorf, Núria Queralt-Rosinach:
Data Science and symbolic AI: Synergies, challenges and opportunities. 27-38 - Xander Wilcke, Peter Bloem, Victor de Boer:
The knowledge graph as the default data model for learning on heterogeneous knowledge. 39-57 - Daniele Dell'Aglio, Emanuele Della Valle, Frank van Harmelen, Abraham Bernstein:
Stream reasoning: A survey and outlook. 59-83 - Richard P. Mann, Olivia Woolley-Meza:
Maintaining intellectual diversity in data science. 85-94 - Manisha Desai:
The integration of the data scientist into the team: Implications and challenges. 95-100 - Evangelos Pournaras:
Cross-disciplinary higher education of data science - beyond the computer science student. 101-117 - Yolanda Gil:
Thoughtful artificial intelligence: Forging a new partnership for data science and scientific discovery. 119-129 - Christine Chichester:
Valorizing omics visualization for discovery. 131-137 - Tobias Kuhn, Michel Dumontier:
Genuine semantic publishing. 139-154 - Silvio Peroni:
Automating semantic publishing. 155-173
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