{'fraction_non_alphanumeric': 0.02334152334152334, 'fraction_numerical': 0.002457002457002457, 'mean_word_length': 5.680327868852459, '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}}
Solving Normative Inconsistencies of Multi-Agent Environment under Ontological Framework

This paper addresses resolution of normative inconsistencies in privacy regulation resulting from merging documents of various kinds. The solution we propose is similar to the past approaches [4], in that we also resort to the implementation of a certain priority in order to resolve actual contradiction. At the core of the processing conflicts lies text-meaningrepresentation (TMR) module. Conflict detection explores modalities as well as OPPOSITE/NOT relation of corresponding principal heads of the TMR(s). Additionally, we claim that unlike purely axiomatic frameworks used [2], ontological semantics accounts for semantic heterogeneity and does not place a restriction on the type of regulation that can be processed.