{'fraction_non_alphanumeric': 0.017013232514177693, 'fraction_numerical': 0.0, 'mean_word_length': 5.4969325153374236, '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}}
MonONTO: A Domain Ontology for Network Monitoring and Recommendation for Advanced Internet Applications Users

In order to make recommendations to users about the potential performance of advanced Internet applications - in the scope of network monitoring - it is not sufficient to just analyze the network performance metrics: it should be also considered information concerning the application type, the traffic generated, and the user profile. In the present paper, we propose a new approach for monitoring the performance of advanced Internet applications based on the use of an expert system. The expert system will infer from a domain ontology named MonONTO. This ontology amasses the main concepts and their relationships in the following sub-domains: quality of service of advanced applications, network performance measurements, and user profiles. The knowledge base, originated from MonONTO, demonstrated its use and importance in the domain described here through axioms creation and inferences performed using a specific experimental rule engine.