Type inference methods and performance for data in an RDBMS
Peter McBrien, Nikos Rizopoulos, Andrew Smith · 2012
In this paper we survey and measure the performance of methods for reasoning using OWL-DL rules over data stored in an RDBMS. OWL-DL Reasoning may be broken down into two processes of classification and type inference. In the context of databases, classification is the process of deriving additional schema constructs from existing schema constructs in a database, while type inference is the process of inferring values for tables/columns from values in other tables/columns. Thus it is the process of type inference that is the focus of this paper, since as data values are inserted into a database, there is the need to use the inserted data to derive new facts.