R2O: Relation to Ontology Transformation System
Sharifullah Khan, Kiran Sonia · Journal of Information & Knowledge Management · 2011
Ontology represents a data source at a higher level of abstraction. Extracting metadata from an autonomous data source and transforming it into source ontology is a tedious and error prone task because the metadata are either incomplete or not available. The essential metadata of a source can be extracted from its data. Our proposed methodology extracts the essential metadata from the data through reverse engineering. In addition, it comprises a set of transformation rules that transform extracted metadata into ontology. The transformation system R2O has been implemented. The evaluation of the proposed transformation is based on two factors, namely (a) correct identification and transformation of metadata and (b) preservation of information capacity. The research has been evaluated through experimental results and mathematical proof. The evaluation shows that the transformation is total and injective, and it preserves information capacity.