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Title: HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science
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.  more » « less
Award ID(s):
1940239
PAR ID:
10298006
Author(s) / Creator(s):
; ; ; ;
Editor(s):
Garoufallou, E; Ovalle-Perandones, M.A.
Date Published:
Journal Name:
Metadata and Semantic Research. MTSR 2020. Communications in Computer and Information Science
Volume:
1335
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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