{'fraction_non_alphanumeric': 0.021798365122615803, 'fraction_numerical': 0.0, 'mean_word_length': 5.681818181818182, '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}}
Using ontological engineering for developing web-based AI ontology

Ontological engineering have become an efficient methodology for knowledge representation and management in many domains and tasks. Ontology design, approaches and methodologies are very important issues for building ontologies for specific task. This paper presents the application of the ontological engineering methodology in e-Learning domain. It presents the development of two web-based ontologies in the area of artificial intelligence technology. The first one is the "Artificial Intelligence in Education" ontology and the second is 'Expert Systems" ontology. The developed ontologies were encoded in OWL-DL format using the Protege-OWL editing environment.