{'fraction_non_alphanumeric': 0.041158536585365856, 'fraction_numerical': 0.013719512195121951, 'mean_word_length': 5.3173076923076925, '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}}
Looking for Information in Fuzzy Relational Databases Accessible Via Web

The Semantic Web is the result of extending the standard Web with languages, information, and resources to enable us to extract information about the meaning of the Web contents automatically (Berners-Lee, Hendler, & Lassila, 2001). This content can be stored in different formats, for example, Web documents, semi-structured schemas, or dynamic data (Hendler, Berners-Lee, & Miller, 2002) as shown in Figure 1. In the Semantic Web, each information source is extended with a structured representation of its semantics (or its meaning). There are several approximations for AbstrAct