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

01/20/2021
by   Jane Greenberg, et al.
0

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.

READ FULL TEXT
research
11/18/2022

Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework

Researchers across nearly every discipline seek to leverage ontologies f...
research
06/13/2020

An Ontology for the Materials Design Domain

In the materials design domain, much of the data from materials calculat...
research
03/27/2020

Ontology Extraction and Usage in the Scholarly Knowledge Domain

Ontologies of research areas have been proven to be useful in many appli...
research
01/22/2020

A Neural Architecture for Person Ontology population

A person ontology comprising concepts, attributes and relationships of p...
research
03/09/2019

Ontology, Ontologies, and Science

Philosophers frequently struggle with the relation of metaphysics to the...
research
09/13/2023

Modeling Dislocation Dynamics Data Using Semantic Web Technologies

Research in the field of Materials Science and Engineering focuses on th...

Please sign up or login with your details

Forgot password? Click here to reset