, Volume 67, Issue 8, pp 1866–1875 | Cite as

Strategy for Extensible, Evolving Terminology for the Materials Genome Initiative Efforts

  • Talapady N. Bhat
  • Laura M. Bartolo
  • Ursula R. Kattner
  • Carelyn E. Campbell
  • John T. Elliott


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.


Resource Description Framework Material Data Material Community Compounded Term Resource Description Framework Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We thank Prof. E. Subrahmanian and J. Collard for useful discussion on some of the linguistic aspects of the compounded terms which will be published elsewhere.


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Copyright information

© The Minerals, Metals & Materials Society (outside the U.S.) 2015

Authors and Affiliations

  • Talapady N. Bhat
    • 1
  • Laura M. Bartolo
    • 2
  • Ursula R. Kattner
    • 3
  • Carelyn E. Campbell
    • 3
  • John T. Elliott
    • 1
  1. 1.Biosystems and Biomaterials DivisionNational Institute of Standards and TechnologyGaithersburgUSA
  2. 2.Center for Materials InformaticsKent State UniversityKentUSA
  3. 3.Materials Science and Engineering DivisionNational Institute of Standards and TechnologyGaithersburgUSA

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