Taxonomy Based Data Extraction from Multi-item Web Pages
نویسندگان
چکیده
In this paper, we present a taxonomy-driven approach to the extraction of data records from web pages containing multiple similar items. In our approach, we first automatically extract a taxonomy from the web for the target domain, then extract data records from web pages in the target domain, and finally use the automatically-extracted taxonomy to automatically annotate feature values in the text of each data record. A key advantage of our approach is that it permits data extraction without human labeling or training. Our evaluation results show that our approach performs well for this task.
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