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HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science
Book chapter   Open access   Peer reviewed

HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science

Jane Greenberg, Xintong Zhao, Joseph Adair, Joan Boone and Xiaohua Tony Hu
Metadata and Semantic Research
18 Mar 2021
DOI: https://doi.org/10.1007/978-3-030-71903-6_28
url
http://arxiv.org/abs/2101.07960View
SubmittedOpen Access (License Unspecified),  Open

Abstract

Helping interdisciplinary vocabulary engineering Knowledge extraction Materials science Named entity recognition Ontology Ontology infrastructure
This paper introduces Helping Interdisciplinary Vocabulary Engineering for Materials Science (HIVE-4-MAT), an automatic linked data ontology application. The paper provides contextual background for materials science, shared ontology infrastructures, and knowledge extraction applications. HIVE-4-MAT’s three key features are reviewed: 1) Vocabulary browsing, 2) Term search and selection, and 3) Knowledge Extraction/Indexing, as well as the basics of named entity recognition (NER). The discussion elaborates on the importance of ontology infrastructures and steps taken to enhance knowledge extraction. The conclusion highlights next steps surveying the ontology landscape, including NER work as a step toward relation extraction (RE), and support for better ontologies.

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5 citations in Scopus

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