{'fraction_non_alphanumeric': 0.007157464212678937, 'fraction_numerical': 0.0, 'mean_word_length': 5.19620253164557, '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}}
On the Construction of Ontologies based on Natural Language Semantic

Ontologies based on natural language semantic are supposed to represent the mental models that speakers of a language possess of domains. They are thus commonly understood and may serve as a efficient means for communication between humans and computers. A menu based on a taxonomy extracted from such an ontology may therefore serve as interface for a web site communicating information about the corresponding domain. To determine an ontological representation of a mental model one must consider not only the meaning of isolated words, but also how they enter into true sentences and valid inferences. In this paper a method is presented that consists in identifying true sentences and using valid inferences to construct taxonomies for categorisation hierarchies. The method is discussed and then applied to the construction of a taxonomy for the domain of tasks provided by the Norwegian municipalities.