Extracting and Aligning the Data Using Tag Path Clustering and CTVS Method
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 4
Abstract
– Web database generate query result page based on user’s query. The information extracted automatically from query result page is used in many web applications. We present a novel method called Tag path clustering for record extraction from multiple attributes. It focuses on how a distinct tag path appears repeatedly in the DOM tree of the web document. It compares a pair of tag path occurrence patterns (called visual signal) to estimate how likely these two tag path represents the same list of objects. This paper introduces the similarity measure that captures how closely the signals appear and interleave. We propose a new record alignment that aligns the attribute in the record, first pairwise and then holistically using CTVS method (combining tag and value similarity).We introduce a new technique to handle the case when the non contiguous QRR, which may be due to the presence of auxiliary information such as, comments, recommendations or advertisement. The nested structure is handled by the nested structure processing method.
Authors and Affiliations
J. KOWSALYA , K. DEEPA
Keywords
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- EP ID EP156956
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