The eXtensible Business Reporting Language (XBRL) has

standardised nancial reporting and provide a machine-interpretable for-

mat that makes nancial and business reports easier to access and con-

sume. Leveraging XBRL with Open Linked Data for purposes such as

multi-dimensional regulatory querying and investigation requires XBRL

formalisation as RDF. This paper investigates the use of o-the-shelf Se-

mantic Web technologies to formalise accounting regulations specied in

XBRL jurisdictional taxonomies. Specically the use of the SPARQL In-

ferencing Notation (SPIN) with RDF to represent these accounting reg-

ulations as rule constraints, not catered for in the RDF abstract model is

investigated. We move beyond previous RDF to XBRL transformations

and investigate how SPIN enhanced formalisation enables inferencing

of nancial statement facts associated with nancial reporting concepts

and sophisticated consistency checks, which evaluate the correctness of

reported nancial data with respect to the calculation requirements im-

posed by accounting regulation. The approach illustrated through two

use cases demonstrates the use of SPIN to meet central requirements for

nancial data and regulatory modelling.