D3.5 VIPERLAB Ontology

D3.5 VIPERLAB Ontology

Impacts of lead halide perovskites (PSK), growing interest in PSK photovoltaics (PV), and waning research interest in conventional silicon PV provide numerous technological avenues for advancing PSK solar cells. However, these PSK technologies generate a tremendous amount of information that often is in proprietary data structures which overwhelms interested researchers and thus makes it difficult for them to reuse this data in a sensible way that fits their needs. The emergence of Semantic Web technologies, and with it the subject of ontologies promis to significantly enhance knowledge representation by facilitating the sharing and reusing of data for efficient data-driven PSK research and easy data integration with machine learning (ML) algorithms and artificial intelligence (AI) software. An ontology is a generic data model representing knowledge about a subject as a map of interconnected concepts or definitions and their relationships.

This report investigates how an ontology can represent information and knowledge about PSK PV energy technologies and facilitate system decision-making by recommending the most suitable options for researchers in various situations. As part of the VIPERLAB initiative, a prototype of the VIPERLAB Ontology system for managing knowledge about PSK PV systems is under development to demonstrate specific Semantic Web capabilities.