2 citations · 4 across the 6 of their papers we have counts for
6 papers
Human-in-the-Loop and AI: Crowdsourcing Metadata Vocabulary for Materials Science
Jane Greenberg, Scott McClellan, Addy Ireland +7
Metadata vocabularies are essential for advancing FAIR and FARR data principles, but their development constrained by limited human resources and inconsistent standardization pract…
Enhancing Semantic Interoperability Across Materials Science With HIVE4MAT
Jane Greenberg, Kio Polson, Scott McClellan +3
HIVE4MAT is a linked data interactive application for navigating ontologies of value to materials science. HIVE enables automatic indexing of textual resources with standardized te…
Research evolution of metal organic frameworks: A scientometric approach with human-in-the-loop
Xintong Zhao, Kyle Langlois, Jacob Furst +5
This paper reports on a scientometric analysis bolstered by human in the loop, domain experts, to examine the field of metal organic frameworks (MOFs) research. Scientometric analy…
Metadata for Scientific Experiment Reporting: A Case Study in Metal-Organic Frameworks
Xintong Zhao, Kyle Langlois, Jacob Furst +6
Research methods and procedures are core aspects of the research process. Metadata focused on these components is critical to supporting the FAIR principles, particularly reproduci…
Characterizing Semantic Ambiguity of the Materials Science Ontologies
Scott McClellan, Yuan An, Xintong Zhao +2
Growth in computational materials science and initiatives such as the Materials Genome Initiative (MGI) and the European Materials Modelling Council (EMMC) has motivated the develo…
Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG) Using LLM
Yuan An, Jane Greenberg, Alex Kalinowski +6
We present a comprehensive benchmark dataset for Knowledge Graph Question Answering in Materials Science (KGQA4MAT), with a focus on metal-organic frameworks (MOFs). A knowledge gr…