Conference proceeding
Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework
METADATA AND SEMANTIC RESEARCH, MTSR 2022, v 1789, 211
01 Jan 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
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 Greenberg (Corresponding Author) - Drexel UniversityScott McClellan - Drexel UniversityXintong Zhao - Drexel UniversityElijah J. Kellner - Winona State UniversityDavid Venator - Northwestern Univ, McCormick Sch Engn, Evanston, IL USAHaoran Zhao - Drexel UniversityJiacheng Shen - Drexel UniversityXiaohua Hu - Drexel UniversityYuan An - Drexel University
- Contributors
- E Garoufallou (Editor)A Vlachidis (Editor)
- Publication Details
- METADATA AND SEMANTIC RESEARCH, MTSR 2022, v 1789, 211
- Series
- Communications in Computer and Information Science
- Publisher
- Springer Nature
- Number of pages
- 11
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:001293553900018
- Scopus ID
- 2-s2.0-85172158638
- Other Identifier
- 991022207165404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Information Science & Library Science