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| Content Provider | Springer Nature Link |
|---|---|
| Author | Bhat, Talapady N. Bartolo, Laura M. Kattner, Ursula R. Campbell, Carelyn E. Elliott, John T. |
| Copyright Year | 2015 |
| Abstract | Intuitive, flexible, and evolving terminology plays a significant role in capitalizing on recommended knowledge representation models for materials engineering applications. In this article, we present a proposed rules-based approach with initial examples from a growing corpus of materials terms in the National Institute of Standards and Technology (NIST) Materials Data Repository. Our method aims to establish a common, consistent, and evolving set of rules for creating or extending terminology as needed to describe materials data. The rules are intended to be simple and generalizable for users to understand and extend as well as for groups to apply to their own repositories. The rules generate terms that facilitate machine processing and decision making. |
| Starting Page | 1866 |
| Ending Page | 1875 |
| Page Count | 10 |
| File Format | |
| ISSN | 10474838 |
| Journal | JOM |
| Volume Number | 67 |
| Issue Number | 8 |
| e-ISSN | 15431851 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2015-07-01 |
| Publisher Institution | The Minerals, Metals & Materials Society (TMS) |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Engineering Chemistry/Food Science Physics Environment Earth Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Engineering Materials Science |
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