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Querying is one of the basic functionality expected from a database system.Query efficiency is adversely affected by increase in the number ofparticipating tables. Also, querying based on syntax largely limits the gamutof queries a database system can process. Syntactic queries rely on thedatabase table structure, which is a cause of concern for large organisationsdue to incompatibility between heterogeneous systems that store datadistributed across geographic locations. Solution to these problems is answeredto some extent by moving towards semantic technology by making data and thedatabase meaningful. In doing so, relationship between sets of entity sets willnot be limited only to syntactic constraints but would also permit semanticconnections nonetheless such relationships may be tacit, intangible andinvisible. The goal of this work is to extract such hidden relationshipsbetween unrelated sets of entity sets and store them in a tangible form. A fewsample cases are provided to vindicate that the proposed work improves queryingsignificantly.

Latent table discovery by semantic relationship extraction between unrelated sets of entity sets of structured data sources