Process Materials Scientific Data for Intelligent Service Using a Dataspace Model
Nowadays, materials scientific data come from lab experiments, simulations, individual archives, enterprise and internet in all scales and formats. The data flood has outpaced our capability to process, manage, analyze, and provide intelligent services. Extracting valuable information from the huge...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2016-07-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | http://datascience.codata.org/articles/604 |