Intelligent self-repairable web wrappers
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
TEX: An efficient and effective unsupervised Web information extractor
Knowledge-Based Systems
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In order to let software programs gain full benefit from semi-structured web sources, wrapper programs must be built to provide a "machine-readable" view over them. A significant problem of this approach is that, since web sources are autonomous, they may experience changes that invalidate the current wrapper. In this paper, we address this problem by introducing novel heuristics and algorithms for automatically maintaining wrappers. In our approach the system collects some query results during normal wrapper operation and, when the source changes, it uses them as input to generate a set of labeled examples for the source which can then be used to induce a new wrapper. Our experiments show that the proposed techniques show high accuracy for a wide range of real-world web data extraction problems.