VisualRDR: A general framework for creating, maintaining and learning of ripple down rules for Information Extraction

The problem facing the industry and the com- mon user today is that of an information glut. Large amounts of useful information, in vari- ous forms, are being generated mostly for hu- man consumption. This deluge of information requires us to find ways of gathering informa- tion from such unstructured sources with as little manual intervention as possible. This has been made possible by information ex- traction. In this paper we propose a novel knowledge-based approach to information ex- traction. We demonstrate how this knowledge for information extraction can be accrued in an incremental fashion.