  Database systems have to cater to the growing demands of the information age.
The growth of the new age information retrieval powerhouses like search engines
has thrown a challenge to the data management community to come up with novel
mechanisms for feeding information to end users. The burgeoning use of natural
language query interfaces compels system designers to present meaningful and
customised information. Conventional query languages like SQL do not cater to
these requirements due to syntax oriented design. Providing a semantic cover
over these systems was the aim of latent table discovery focusing on
semantically connecting unrelated tables that were not syntactically related by
design and document the discovered knowledge. This paper throws a new direction
towards improving the semantic capabilities of database systems by introducing
a concept driven framework over the latent table discovery method.
