RDF data retrieval in structured format using aggregate function and keyword search in MashQL

Recently, in many business applications web data is used for running business operations. Formatted data on the web is inspired by huge data on the web and necessity of retrieving web data in structured format. Traditional search engines like Yahoo pipes, Google retrieving data using keyword search but its giving ambiguous results and unnecessary data which user does not want. In this paper we refer the method to retrieve the web data in structured format using MashQL approach with the help of SPARQL language which allows user to query, navigate, and mash-up a data source(s) without knowing schema and how the data is stored into the database. Assuming web data as input in RDF format used to represent the metadata of the Web applications in structured manner. We can query by using SPARQL language which is the recent recommendation by the W3C. By using this approach we mentioned how user having less technical knowledge is able to retrieve the data in structured format using drop down operations and interactive methods. We mentioned that how retrieval results will be faster by providing keyword search and then use MashQL approach. We also mentioned an aggregate function (e.g. sum, avg, max etc) in MashQL so user can perform a calculation on a set of values and return a single value.