A novel document retrieval scheme using relational keyword search system

Keyword search pattern to relational data is the most important and highlighted area within search and information retrieval community. For the system evaluations, we can follow many approaches that proposed but there is a lack of standardization. The result of lack of standardization affects performance of the system. The previous system focus is on memory utilization. The number of queries completed successfully in a query workload is performance wise not showing good results for relational keyword search system. The solution to above problem is to develop a technique that will manage utilization of memory, data swapping to and from hard disk with a help of document retrieval using relational keyword search. The new system will reuse datasets and query workloads to provide higher consistency of results depending on usage of dataset. The new system will explore the relationship between execution time and factors varied in previous system. Scalable document retrieval improves search performance in terms of execution time, and cost efficiency. The aim of this project is to improve search effectiveness in terms of total execution time, and cost efficiency in terms of data retrieved size. The average percentage of performance improved by proposed system is 10% - 15% as compared to existing system.