{'fraction_non_alphanumeric': 0.013966480446927373, 'fraction_numerical': 0.002793296089385475, 'mean_word_length': 5.700934579439252, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Dynamic question answering system based on ontology

The Question Answering (QA) system is playing a significant role in search engine and information extraction principle. This investigation of research work has performed with an Interface which incorporates the different modules of ontology assistance, template assistance, and user modeling techniques which function as the supporter between the client user and system to deal with the user problems. The latest features which formulate to increase system performance are ontology assisted query template, natural language query mode and keyword based query mode. The experimentation result implies that 85% queries have been accurately identified by the system.