{'fraction_non_alphanumeric': 0.02120141342756184, 'fraction_numerical': 0.0, 'mean_word_length': 5.343283582089552, '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}}
A bilingual ontology mapping and enrichment approach for domain ontologies in e-learning

English language is accepted as international language for publishing research in e-learning and Semantic Web area, but people are needed from representing data and knowledge in his native language. This paper proposes an approach for mapping and enrichment of domain ontologies, labeled in two natural languages (bilingual ontologies). Our main goal is to examine how ontology entity labels or comments in two or more natural languages can be used to improve ontology mapping. The proposed approach combines string-based, linguistic, structural and semantic mapping. It also can reuse existing mappings and use learner's or expert's feedback to improve mapping. We discuss the application of our approach for mapping ontologies describing e-learning content.