{'fraction_non_alphanumeric': 0.015723270440251572, 'fraction_numerical': 0.0, 'mean_word_length': 5.161290322580645, '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}}
Semiotic Aspects of Generalized Bases of Data

We have systems rich in information but poor in knowledge. The paper shall sketch a framework in which information and knowledge could be properly integrated. Our initial hypothesis is that passing from information to knowledge involves the elaboration of a well structured theory of semiotic units. The latter is codified by a three-fold structure: an expression, a content and an ontological component. Expressions and contents together give rise to the symbolic component of the semiotic unit. The three components are all further subdividable into types and kinds. Their intertwined relationships become easier to elaborate if we find a uniform way to represent the various components. This requires formal tools as sophisticated as those provided by category theory. It follows that other operators beyond the usual logical operators should be used, namely the 'geometric operators' of category theory.