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Published in:
2007 | OriginalPaper | Chapter
Labeling Data Extracted from the Web
Authors : Altigran S. da Silva, Denilson Barbosa, João M. B. Cavalcanti, Marco A. S. Sevalho
Published in: On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS
Publisher: Springer Berlin Heidelberg
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We consider finding descriptive labels for anonymous, structured datasets, such as those produced by state-of-the-art Web wrappers. We give a probabilistic model to estimate the
affinity
between attributes and labels, and describe a method that uses a Web search engine to populate the model. We discuss a method for finding good candidate labels for unlabeled datasets. Ours is the first unsupervised labeling method that does not rely on mining the HTML pages containing the data. Experimental results with data from 8 different domains show that our methods achieve high accuracy even with very few search engine accesses.