Using JSON and SPARQL to map Insurance Domain Data from Spreadsheets to OWL

Semantic Web tools are beneficial for the smooth transfer, access and interpretation of information in the traditionally complex insurance industry, which is all-inclusive of local standards, metadata elements and isolated data models. Auto ontology introduces a new data model for digital insurance. Standardised products and relationships with well-defined properties ensure a common understanding of information and make explicit domain assumptions, thus allowing organizations to make better sense of their data and establish interoperability of data between insurers, partners and customers. The ontology itself is realized using Protégé (Protégé OWL Web Ontology Editor) and is implemented in OWL and queried using SPARQL query language.