A genaric framework for evaluation of ontology to relational database transformation process

Ontology can be considered as a well defined semantic enabled data structure for efficient representation of web data. Relational Databases offers an efficient persistent storage and retrieval, and hence considered a good solution for ontology storage. However, this needs an efficient mapping between the two representations which preserves the goodness of both. Transformation of ontology to relational database may invoke the possibility of errors in terms of semantics leakage due to the variant nature of structure in both the data models. Existing Benchmarks to evaluate the mappings ignores the verification of the semantic leakages that might arise during the mapping process. In this paper a benchmark for the evaluation of ontology to relational mapping has been proposed to verify the semantic preservation during the mapping process. The framework ensures that whether all the semantics available in ontology are fully preserved in the database or not. The framework can be used as an effective tool for verification of correct ontology mapping over the databases or any other storage and retrieval system. The major building blocks of the proposed framework include Ontology Receiver, Indexing Schema, Semantic Extractor, Semantic Evaluator, and ORB. The framework has successfully been implemented and tested with number of ontologies.