Semantic Information Management in Low-Temperature Plasma Science and Technology with VIVO

TL;DR

This paper introduces a framework using VIVO and a domain-specific ontology to enhance semantic information management and knowledge graph creation in low-temperature plasma research, promoting data reuse and community collaboration.

Contribution

It presents a novel framework combining VIVO and Plasma-O ontology to facilitate semantic data management in LTP science, addressing a gap in current research.

Findings

Developed a domain-specific ontology Plasma-O for LTP research

Implemented a knowledge graph platform using VIVO for LTP data

Facilitated community participation in ontology and knowledge graph building

Abstract

Digital research data management is increasingly integrated across universities and research institutions, addressing the handling of research data throughout its lifecycle according to the FAIR data principles (Findable, Accessible, Interoperable, Reusable). Recent emphasis on the semantic and interlinking aspects of research data, e.g., by using ontologies and knowledge graphs further enhances findability and reusability. This work presents a framework for creating and maintaining a knowledge graph specifically for low-temperature plasma (LTP) science and technology. The framework leverages a domain-specific ontology called Plasma-O, along with the VIVO software as a platform for semantic information management in LTP research. While some research fields are already prepared to use ontologies and knowledge graphs for information management, their application in LTP research is nascent. This work aims to bridge this gap by providing a framework that not only improves research data management but also fosters community participation in building the domain-specific ontology and knowledge graph based on the published materials. The results may also support other research fields in the practical use of knowledge graphs for semantic information management.