Mapping of XML to Sparse Table Using Relational Engine for P2P Databases: Implementation

In this module, user has to give the query for the further propose and to obtain the optimized query. The wide spread use of the Web has originated several new data management problems, such as extracting data from Web pages and making databases accessible from Web browsers, and has renewed the interest in problems that had appeared before in other contexts, such as querying graphs, semi structured data and structured documents. Several systems and languages have been proposed for solving each of these Web-data management problems, but none of these systems addresses all the problems from a unified perspective. XML is commonly supported by SQL database systems. However, existing mappings of XML to tables can only deliver satisfactory query performance for limited use cases. Most of the existing link analysis algorithms treat a web page as a single node in the web graph. However, in most cases, a web page contains multiple semantics and hence the web page might not be considered as the atomic node. In this paper, the web page is partitioned into blocks using the vision-based page segmentation algorithm. Comparing to other existing techniques, our approach is independent to underlying documentation representation such as HTML and works well even when the HTML structure is far different from layout structure. Genetic Algorithm can be used in this query technique.