AAAI Publications, Twenty-Sixth AAAI Conference on Artificial Intelligence

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Learning Transformation Rules by Examples
Bo Wu, Pedro Szekely, Craig A. Knoblock

Last modified: 2012-07-14


This paper presents an abstract for a general data transformation approach. Using programming by demonstration technique, we learn the transformation rules through user given examples. These transformation rules are automatically generated from a predefined grammar. Due to the grammar space is huge, we propose a grammar space reduction method to reduce the search space and a sketch of search algorithm is adopted to identify the rules that are consistent with the examples. The final experimental results show our approach achieves promising results on different transformation scenarios.

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