Deep web Data Integration Approach Based on Schema and Attributes Extraction of Query Interfaces Mr. Patel Gopalkrushna*, Rajawat Anand Singh**, Mr. Vyas Satyendra*** *Research Scholar, JJTU University, Rajasthan, M.TECH (IT)-IET, Alwar **Institute of Engineering (CSE), JJT University, jhunjhunu, CSE Department SVITS ***Lecturer, CS&IT Department, IET-Alwar, Rajasthan Online published on 26 June, 2013. Abstract The deep web is becoming a collection of informative resource unlike the conventional web information that allow retrieval of the contents into the Deep Web only accessible through source query interfaces. However, there may be many query interfaces for any domain of interest that users need to access them in order to get the desired information. Accesing the information is a time consuming processes and requires building an integrated query interface over the sources. The first important task in our research is schema extraction from source query interface and second is automatic extracting attributes from the query interface and automatically translating a query, is a solvable way for addressing the current limitations in accessing Deep Web data sources. In this paper, we present a effective Deep web data integration approach based on Schema and Attributes Extraction of Query Interfaces. Our approach can also avoid obtaining the incorrect subsets while grouping attributes and is highly effective on schema extraction of source query interfaces on the invisible web. Top Keywords Surface Web, Invisible web, Schema and Attribute. Top |