AUTOMATIC ANNOTATION OF QUERY RESULTS FROM DEEP WEB DATABASE

In recent years, web database extraction and annotation has received more attention from the database . When search query is submitted to the interface the search result page is generated. Search Result Records (SRRs) are the result pages obtained from web database (WDB) and these SRRs are used to display the result for each query. Every SRRs contains multiple data units similar to one semantic. These sea rch results can be used in many web applications such as comparison shopping, data integration, metaquerying. But to make these applications successful the search pages are annotated in a meaningful fashion. To reduce human efforts, an automatic annotation approach is used. In which, we first aligns the data units on result records into various groups such that the information in the similar group have same meaning. After this we annotate each and every group in different domains and obtain the final annota tion after aggregating them. In addition, we use New CTVS technique for extraction of QRRs from a query result page, in which we use optional labeling and dynamic tagging for the improvement. Then an annotation wrapper is generated automatically which is u sed for annotation new result records from the same web database