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Impulse Technologies
                                      Beacons U to World of technology
        044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
       Combining Tag and Value Similarity for Data Extraction and
                             Alignment
   Abstract
          Web databases generate query result pages based on a user's query.
   Automatically extracting the data from these query result pages is very important
   for many applications, such as data integration, which need to cooperate with
   multiple web databases. We present a novel data extraction and alignment method
   called CTVS that combines both tag and value similarity. CTVS automatically
   extracts data from query result pages by first identifying and segmenting the query
   result records (QRRs) in the query result pages and then aligning the segmented
   QRRs into a table, in which the data values from the same attribute are put into the
   same column. Specifically, we propose new techniques to handle the case when the
   QRRs are not contiguous, which may be due to the presence of auxiliary
   information, such as a comment, recommendation or advertisement, and for
   handling any nested structure that may exist in the QRRs. We also design a new
   record alignment algorithm that aligns the attributes in a record, first pairwise and
   then holistically, by combining the tag and data value similarity information.
   Experimental results show that CTVS achieves high precision and outperforms
   existing state-of-the-art data extraction methods.




  Your Own Ideas or Any project from any company can be Implemented
at Better price (All Projects can be done in Java or DotNet whichever the student wants)
                                                                                          1

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  • 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in Combining Tag and Value Similarity for Data Extraction and Alignment Abstract Web databases generate query result pages based on a user's query. Automatically extracting the data from these query result pages is very important for many applications, such as data integration, which need to cooperate with multiple web databases. We present a novel data extraction and alignment method called CTVS that combines both tag and value similarity. CTVS automatically extracts data from query result pages by first identifying and segmenting the query result records (QRRs) in the query result pages and then aligning the segmented QRRs into a table, in which the data values from the same attribute are put into the same column. Specifically, we propose new techniques to handle the case when the QRRs are not contiguous, which may be due to the presence of auxiliary information, such as a comment, recommendation or advertisement, and for handling any nested structure that may exist in the QRRs. We also design a new record alignment algorithm that aligns the attributes in a record, first pairwise and then holistically, by combining the tag and data value similarity information. Experimental results show that CTVS achieves high precision and outperforms existing state-of-the-art data extraction methods. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1