Automated generation of SPARQL queries from semantic mark-up

Abstract: Previous work has shown that semantic mark-up of normative documents can be consumed directly by a rule-engine or can be automatically transformed to a number of existing rule representations. This work investigates the feasibility of automatically transforming examples of normative documents into SPARQL and testing the result against typical building information models. The desirability of using SPARQL is discussed.