An ontology for a polymer nanocomposite community data resource

Vipula Rawte, L. Catherine Brinson, James McCusker, Wei Chen, Deborah L. McGuinness, He Zhao, Linda Schadler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Interest in polymer nanocomposites has been increasing because of their unique properties. Since the field draws on a wide range of disciplines, a data resource aimed at adequately supporting the field needs to include vocabulary from many disciplines. We are building an ontology that aims to connect to relevant vocabularies and include well-specified interconnections between those vocabularies. Coverage is determined by a set of use cases. We will describe our ontology along with the growing data resource that it supports and introduce how our ontology-based approach can enable collaborative community research in polymer nanocomposites. Further, we mention how this approach can be leveraged more broadly in material science.

Original languageEnglish (US)
Title of host publicationWebSci 2017 - Proceedings of the 2017 ACM Web Science Conference
PublisherAssociation for Computing Machinery, Inc
Pages411-412
Number of pages2
ISBN (Electronic)9781450348966
DOIs
StatePublished - Jun 25 2017
Event9th ACM Web Science Conference, WebSci 2017 - Troy, United States
Duration: Jun 25 2017Jun 28 2017

Publication series

NameWebSci 2017 - Proceedings of the 2017 ACM Web Science Conference

Other

Other9th ACM Web Science Conference, WebSci 2017
CountryUnited States
CityTroy
Period6/25/176/28/17

Keywords

  • Interfacial area
  • Knowledge graph
  • Microstructure
  • Nanofiller dispersion
  • Ontology
  • Polymer nanocomposite
  • Semantic data resource
  • Visualization

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Rawte, V., Brinson, L. C., McCusker, J., Chen, W., McGuinness, D. L., Zhao, H., & Schadler, L. (2017). An ontology for a polymer nanocomposite community data resource. In WebSci 2017 - Proceedings of the 2017 ACM Web Science Conference (pp. 411-412). (WebSci 2017 - Proceedings of the 2017 ACM Web Science Conference). Association for Computing Machinery, Inc. https://doi.org/10.1145/3091478.3098866