Performing instance data validation in a closed-world scenario

Hello,

 

We are now in process to deliver a XML-based information publishing
system, which captures much public information with heavy RDF/RDFa
payload. We wish to create a set of OWL ontologies to model relevant
knowledge, and then we are going to populate the knowledge model by
creating different type of instances based on the ontology schema.

 

Our goal is to be able to validate the consistency of those new
instances against the knowledge model, in other words, we want to work
with validating instance data in a closed-world scenario. Since we are
going to use Jena as our underlying semantic framework, it seems natural
to use Jena inference OWL capabilities to perform the validation. Given
that we expect to handle some constructs that go beyond the support of
Jena OWL reasoner (such as cardinality restrictions higher than 1 for
object type properties), we are planning to extend Jena built-ins to
implement our validation rules to deal with this casuistry.

 

Does anybody have any advice on best practice or any lessons learned
from previous experience when dealing with similar use cases? Any
feedback would be much appreciated.

 

Marta de Francisco
The Stationery Office 

 


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