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In this paper, we present a novel title extraction method from loosely structured data records (LSDRs). Firstly, we automatically identify the format of titles and then extract them accordingly. For the Web page whose title is occurred in all the data records, we obtain the one in the candidate titles which has the largest length of the dasiasame contentpsila as the accurate title. And for the Web...
Extracting loosely structured data records (DRs) has wide applications in many domains, such as forum pattern recognition, blog data analysis, and books and news review analysis. Currently existing methods work well for strongly structured DRs only. In this paper, we address the problem of extracting loosely structured DRs through mining strict patterns. In our method, we utilize both content feature...
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