Abstract

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.

Date

November 26, 2025

Authors

Bo Wu, Pedro Szekely, Craig Knoblock

Journal

Proceedings of the AAAI Conference on Artificial Intelligence

Volume

26

Issue

1

Pages

2459-2460