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  • 标题:An Integration Approach for Data Extraction and Coalition
  • 本地全文:下载
  • 作者:P Mohammad Fayaz Ahmed ; Gunthati Prathap
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2014
  • 卷号:13
  • 期号:3
  • 页码:128-131
  • DOI:10.14445/22312803/IJCTT-V13P127
  • 出版社:Seventh Sense Research Group
  • 摘要:Web database is nothing but online database which generates query result based on user’s result. From the query result, extract the data from many application i.e., data integration which need cooperate with multiple web application. CTVS is the method for novel data extraction, which is used to extract the data automatically from query result pages (QRP). Firstly identifying and segmenting the query result records in the QRP. Secondly, align the segmented QRR into table. Due to presence of auxiliary information, in such cases QRRs are not contiguous, Specifically for this situation we proposed new techniques to handle. Designing new record alignment algorithm which is used to align the attribute in a record, first pair wise and then holistically, by joining the tag and data value likeness information. From this approach which achieves high precision and do better than.
  • 关键词:An Integration Approach for Data Extraction and Coalition
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