{'fraction_non_alphanumeric': 0.016423357664233577, 'fraction_numerical': 0.0, 'mean_word_length': 5.535714285714286, '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}}
Qsense - Learning Semantic Web Concepts by Querying DBpedia

This paper describes Qsense — an educational and research Web application, developed to ease the interrogation of DBpedia for users intending to learn the most important concepts regarding the Semantic Web, especially to increase the knowledge about DBpedia in a pragmatic way. Additionally, by providing a compelling Web interface, Qsense offers the possibility to explore the DBpedia's ontology structure and to practice various SPARQL queries by expert and especially nonexpert users.