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A Query Formulation Language For The Data Web Aim Abstract Existing System: We present a query formulation language (called Mash QL) in order to easily query and fuse structured data on the web. The main novelty of Mash QL is that it allows people with limited IT skills to explore and query one (or multiple) data sources without prior knowledge about the schema, structure, vocabulary, or any technical details of these sources. More importantly, to be robust and cover most cases in practice, we do not assume that a data source should have - an offline or inline schema. This poses several language-design and performance complexities that we fundamentally tackle. Proposed System To illustrate the query formulation power of Mash QL, and without loss of generality, we chose the Data web scenario. We also chose querying RDF, as it is the most primitive data model; hence, MashQL can be similarly used for querying relational databases and XML. We present two implementations of MashQL, an online mashup editor, and a Firefox add on. The former illustrates how MashQL can be used to query and mash up the Data web as simple as filtering and piping web feeds; and the Firefox add on illustrates using the browser as a web composer rather than only a navigator. To end, we evaluate MashQL on querying two data sets, DBLP and DBPedia, and show that our indexing techniques allow instant user interaction. Modules: Admin Module User Module DatBase Module Requirements: Operating System : Android OS,Android Sdk,Java IDE : Eclipse(latest versions) DataBase : Sqlite Ram : 1GB