A Survey: Transformation for Integrating Relational Database with Semantic Web

An early vision in Computer Science was focused on Artificial Intelligence (AI) to produce intelligent systems capable of reasoning on huge amounts of data. Since the huge amount of data on the web are still formed and stored in relational databases (RDBs), such data cannot be used directly via the Semantic Web. Therefore, semantic integration of relational data sources into the Semantic Web is not a trivial task and has been addressed by developing approaches and tools for transformation RDB to ontology. The aim of this survey is to present the existing approaches contributed for integrating RDBs into Semantic Web in order to bridge the gap between RDB model and ontology model and to boost the current Web, by discussing the benefits and drawbacks of these approaches as well as to compare between them in specific terms.