Abstract
We explore how an ontology may be used with a database to support reasoning about the “information content” of data whereby to reveal hidden information that would otherwise not derivable by using conventional database query languages. Our basic ideas rest with “ontology” and the notions of “information content”. A public ontology, if available, would be the best choice for reliable domain knowledge. To enable an ontology to work with a database would involve, among others, certain mechanism thereby the two systems can form a coherent whole. This is achieved by means of the notion of “information content inclusion relation”, IIR for short. We present what an IIR is, and how IIR can be identified from both an ontology and a database, and then reasoning about them.
Highlights
Data mining techniques and tools are developed for finding otherwise hidden knowledge from data, and little seems to have been done on bringing “standard” domain knowledge into such a process, which we envisage would be helpful.Ontologies as domain knowledge have been used in many fields
We explore how an ontology may be used with a database to support reasoning about the “information content” of data whereby to reveal hidden information that would otherwise not derivable by using conventional database query languages
We have described how an ontology may be linked with database in order to derive hidden information
Summary
Data mining techniques and tools are developed for finding otherwise hidden knowledge from data, and little seems to have been done on bringing “standard” domain knowledge into such a process, which we envisage would be helpful. The focus is on how to link an ontology with a relation database in order to reason about informational relationships between data constructs in the database and those between domain objects captured by an ontology This may represent an innovative approach to knowledge discovery in a database. Seemingly a promising approach, it is not concerned explicitly with the information content of data, in which we are interested and wish to explore and make use of Another approach that we have investigated is where an ontology is invoked in formulating a query process by Munir et al [6]. In their approach, firstly, an ontology is generated based upon domain metadata including relationships between data in a relational database.
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