Enhancing Semantic Interoperability Across Materials Science With HIVE4MAT
Jane Greenberg, Kio Polson, Scott McClellan, Xintong Zhao, Alex, Kalinowski, Yuan An
TL;DR
HIVE4MAT is an interactive linked data application that improves semantic interoperability in materials science by enabling ontology navigation and automatic indexing of textual resources.
Contribution
The paper introduces HIVE4MAT, a novel system that enhances semantic interoperability in materials science through ontology navigation and automated indexing.
Findings
HIVE4MAT successfully facilitates navigation of materials science ontologies.
The system enables automatic indexing of textual resources with standardized terminology.
Evaluations demonstrate improved semantic interoperability.
Abstract
HIVE4MAT is a linked data interactive application for navigating ontologies of value to materials science. HIVE enables automatic indexing of textual resources with standardized terminology. This article presents the motivation underlying HIVE4MAT, explains the system architecture, reports on two evaluations, and discusses future plans.
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Taxonomy
TopicsMachine Learning in Materials Science