R2O: Relation to Ontology Transformation System

Sharifullah Khan () and Kiran Sonia ()
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Sharifullah Khan: School of Electrical Engineering and Computer Science, National University of Sciences and Technology, H-12, Islamabad, Pakistan
Kiran Sonia: School of Electrical Engineering and Computer Science, National University of Sciences and Technology, H-12, Islamabad, Pakistan

Journal of Information & Knowledge Management (JIKM), 2011, vol. 10, issue 01, 71-89

Abstract: 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.

Keywords: Data integration; source model; conceptual modeling; ontology; OWL; semantic similarity (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1142/S0219649211002845

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