Introduces HIVE-4-MAT - Helping Interdisciplinary Vocabulary Engineering for Materials Science, an automatic linked data ontology application. Covers contextual background for materials science, shared ontology infrastructures, and reviews the knowledge extraction and indexing process. HIVE-4-MAT's vocabulary browsing, term search and selection, and knowledge extraction and indexing are reviewed, and plans to integrate named entity recognition. Conclusion highlights next steps with relation extraction to support better ontologies.
@article{arxiv.2101.07960,
title = {HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science},
author = {Jane Greenberg and Xintong Zhao and Joseph Adair and Joan Boone and Xiaohua Tony Hu},
journal= {arXiv preprint arXiv:2101.07960},
year = {2021}
}
Comments
12 pages, 1 table, 7 figures, Presented at "MTSR '20: 14th International Conference on Metadata and Semantics Research," and forthcoming in conference proceedings. Research supported by NSF OAC: #1940239