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Preprint (Author's original)arXiv.org - Non-exclusive license to distribute, Open
Preprint
Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework
18 Nov 2022
Abstract
Researchers across nearly every discipline seek to leverage ontologies for
knowledge discovery and computational tasks; yet, the number of machine
readable materials science ontologies is limited. The work presented in this
paper explores the Processing, Structure, Properties and Performance (PSPP)
framework for accelerating the development of materials science ontologies. We
pursue a case study framed by the creation of an Aerogel ontology and a Battery
Cathode ontology and demonstrate the Helping Interdisciplinary Vocabulary
Engineer for Materials Science (HIVE4MAT) as a proof of concept showing PSPP
relationships. The paper includes background context covering materials
science, the PSPP framework, and faceted analysis for ontologies. We report our
research objectives, methods, research procedures, and results. The findings
indicate that the PSPP framework offers a rubric that may help guide and
potentially accelerate ontology development.
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Details
- Title
- Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework
- Creators
- Jane GreenbergScott McClellanXintong ZhaoElijah J KellnerDavid VenatorHaoran ZhaoJiacheng ShenXiaohua HuYuan An
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Information Science
- Other Identifier
- 991019310984404721