{'fraction_non_alphanumeric': 0.013605442176870748, 'fraction_numerical': 0.0, 'mean_word_length': 4.212389380530974, '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}}
Knowledge Processing for Web Search - An Integrated Model and Experiments

We propose a model of a middleware system enabling personalized web 
 search for users with different preferences. We integrate both 
 inductive and deductive tasks to find user preferences and 
 consequently best objects. The model is based on modeling 
 preferences by fuzzy sets and fuzzy logic. We present the model-theoretic 
 semantics for fuzzy description logic 
 f- EL which is the motivation of creating a model 
 for fuzzy RDF. Our model was experimentally implemented and 
 the integration was tested.