摘要：In this Bespoked Secure Framework for an Ontology-Based Data-Extraction System study, we report on the implementation of existing generalized framework with alternate technology. Implementation is done using Natural language processing instead of heuristic based method. Heuristic methods are based on assumptions. The assumptions are just unspecified and as a consequence not understood. If for a given secure data extraction limitation problem, the realization of model-based solutions appears to be too complicated or too pricey to carry out. Heuristic approaches need to be incorporated with a meticulous analysis designed at checking the extent to which the approach formalizes rational agency preference structures and/or data user behaviors. Our Secure Data Extraction system will allow new algorithms and ideas to be incorporated into a Data extraction system. Extraction of information from semi-structured or unstructured documents, such as web pages, is a useful yet complex task. Ontologies can achieve a high degree of accuracy and Privacy in Data extraction system while maintaining resiliency in the face of document changes. Ontologies do not, however, diminish the complexity of a Data-extraction system. As research in the field progress, the need for a modular Data-extraction system that decouples the associated processes continues to grow.
