EXPERIMENTAL RESULTS AND ANALYSIS OF SCALABLE KEY TERMED BASED SEARCH SYSTEM

Computer Engineering

ABSTRACT Current era is internet based applications and data on internet is huge and increasing exponentially. For searching any data on internet various methods used, among which keyword find has confirmed to be a powerful technique to find out and recover information online as facts by a number of Internet search engines. Various methods have been planned and executed, but even though a lot of methods, there is problem that severe lack of normalization for system evaluations. But, many common information management systems do not support the familiar keyword search interface that people now require. Web sites, corporations, and governments all use relational databases to handling information, but keyword search in relational databases is difficult due to data transformations that dismiss redundancy and ensure consistency. The proposed system intended a thorough performance evaluation of keyword search over relational systems. The proposed system involves various other approaches for searching keywords from relational databases. Especially, memory consumption defines various techniques from being scaled from few datasets to thousands of vertices in database. The proposed system also determines the relationship or performance on basis of execution time and other evaluation factors .Thus the system evaluates the performance for keyword search over relational databases and thereby help in examining the relation between the keyword search execution time against the various factors like number of terms, frequency of search. Existing relational keyword search systems require more execution time. So, the performance of existing relational keyword search systems is unsatisfactory. The main purpose behind this paper is to focus on evaluation of keyword search techniques inside relational database and to propose novel schemes which help to improve search efficiency. This implementation of our system provides betters user interaction and organization to classify both the objective behind queries and the expression of this intent.

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