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M8-2-1-1-2015 REVIEW ON AUTOMATIC ANNOTATION OF QUERY RESULTS FROM DEEP WEB DATABASE
BibTeX
@MISC{Bhosale_m8-2-1-1-2015review,
author = {Mr. Chaitanya Bhosale and Prof Sunil Rathod},
title = {M8-2-1-1-2015 REVIEW ON AUTOMATIC ANNOTATION OF QUERY RESULTS FROM DEEP WEB DATABASE},
year = {}
}
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Abstract
Abstract: In recent years, web database extraction and annotation has received much attention from the database and Information Extraction(IE) in research area due to the volume and quality of deep web. Many web databases are accessible through HTML form-based interface. When query is submitted to the search interface the query 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 SRR contains multiple data units equivalent to one semantic. These search results can be utilized in other web applications such as comparison shopping, data integration,metaquerying. To make these applications successful the search pages should be annotated in a meaningful fashion. To make it effortless for human,an automatic annotation approach is suggested. Within this,we first groups the data units of result records so that the information in the group have the same meaning. After that we annotate each group in different aspects and obtain the final annotation after aggregating them. In addition,we use a new CTVS technique for extraction of QRRs from a query result page,in which we use optional labeling and dynamic tagging for the improvement. Further an annotation wrapper is generated automatically which can be used for annotation new result records from the same WDB.
Keyphrases
query result page data unit information extraction annotation wrapper final annotation search interface search result record web database extraction multiple data unit result page deep web web application optional labeling different aspect web database search page much attention comparison shopping html form-based interface result record dynamic tagging annotation new result record meaningful fashion many web database recent year search result new ctvs technique automatic annotation approach research area data integration
