**1.1. Contribution and outline**

The main contribution of this paper is an algorithm designed for query reformulation based on exploration technique. Algorithm named 'Query morphing' explores into the proximity of initial user query and extract additional relevant data objects. These retrieved data objects from the n-dimensional neighborhood assist user in his intermediate query reformulation. Proximate data objects are selected based on implicit and explicit relevance. We expect that our proposal, guides on exploration over several ample databases, such as Medical database, DNA database, social database, scientific database, etc. Finally, various existing reformulation techniques are revisited to establish the fact that how 'Query morphing' is different from traditional transformation techniques.

Next section listed some related research prospects and approaches. In Section 3 the proposed approach is conveyed, in which conceptual design is represented with algorithm and schematic diagram. Various design issues, analysis of implementations as well as intrinsic implementation complexity in proposed approach are recognized in Section 4. Lastly, the conclusion is presented.
