HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science
HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science
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DOI：
10.1007/978-3-030-71903-6_28
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发表时间：
2021-01
期刊：
影响因子：
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通讯作者：
J. Greenberg;Xintong Zhao;Joe B. Adair;Joan Boone;Xiaohua Hu
中科院分区：
文献类型：
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作者：
J. Greenberg;Xintong Zhao;Joe B. Adair;Joan Boone;Xiaohua Hu
本文介绍了一个自动关联数据本体应用程序，帮助材料科学的跨学科词汇工程（HIVE-4-MAT）。本文提供了材料科学，共享本体基础设施，知识提取应用程序的背景。HIVE-4-MAT的三个关键功能：1）词汇浏览，2）术语搜索和选择，3）知识提取/索引，以及命名实体识别（NER）的基础知识。讨论详细阐述了本体论基础设施的重要性和为加强知识提取而采取的步骤。结论强调了调查本体景观的下一步，包括NER工作作为关系提取（RE）的一步，并支持更好的本体。
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.