PI Researcher: Carlos Rivero, Rochester Institute of Technology
Company Partner: L3Harris
L3Harris currently deploys ontologies that are experiencing data limitations, which compromise the performance and scalability of the applications. Thus, there is motivation to find an approach to migrate ontologies into a graph database that can provide performance, flexibility, and scalability benefits, particularly for applications involving complex and highly interconnected data. This project aims to investigate methods to enable ontology development into Neo4j, an open-source graph database, thereby empowering users to extract valuable insights from existing ontologies and expanding queries to extensive multi-domain data sets. Furthermore, the project aims to help users retrieve knowledge from existing ontologies, even when the users are not computing experts.