HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science
Jane Greenberg, Xintong Zhao, Joseph Adair, Joan Boone, Xiaohua, Tony Hu
TL;DR
HIVE-4-MAT is a new ontology infrastructure that enhances materials science data integration through automatic linked data applications, vocabulary tools, and plans for improved relation extraction.
Contribution
It introduces HIVE-4-MAT, a novel ontology application tailored for materials science, with integrated tools for vocabulary management and future plans for relation extraction.
Findings
Enhanced vocabulary browsing and search capabilities
Effective knowledge extraction and indexing methods
Plans for integrating relation extraction for better ontologies
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.