Ontograte: Towards Automatic Integration for Relational Databases and the Semantic Web Through an Ontology-Based Framework

Integrating existing relational databases with ontology-based systems is among the important research problems for the Semantic Web. The authors have designed a comprehensive framework called OntoGrate which combines a highly automatic mapping system, a logic inference engine, and several syntax wrappers that inter-operate with consistent semantics to answer ontology-based queries using the data from heterogeneous databases. There are several major contributions of the OntoGrate research: They designed an ontology-based framework that provides a unified semantics for mapping discovery and query translation by transforming database schemas to Semantic Web ontologies; they developed a highly automatic ontology mapping system which leverages object reconciliation and multi-relational data mining techniques;