An Effective System for User Queries Assistance

The Big Data paradigm has recently come on scene in a quite pervasive manner. Sifting through massive amounts of this kind of data, parsing them, transferring them from a source to a target database, and analyzing them to improve business decision-making processes is too complex for traditional approaches. In this respect, there have been recent proposals that enrich data while exchanging them, such as the Data Posting framework. Although this framework is very useful for practical purposes, it requires the ability of using domain relations and count constraints, which may be difficult to manage for non-expert users. In this paper, we propose a Smart Data Posting framework that simplifies modeling by means of intuitive constructs that are automatically translated in the standard framework. In particular, the extraction of source data can be performed with \emph{smart mapping rules}. Also, we allow simplified versions of target constraints. We present a detailed complexity analysis of the framework and describe the architecture of a system for advanced search, tailored for Big Data, that implements the Smart Data Posting framework.