{'fraction_non_alphanumeric': 0.01761006289308176, 'fraction_numerical': 0.0012578616352201257, 'mean_word_length': 5.862068965517241, '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}}
Assessing and Improving SKOS Mapping Quality

The Simple Knowledge Organization System (SKOS) is popular for expressing controlled vocabularies for their use in Semantic Web applications. Using SKOS, concepts can be linked to other concepts and organized into hierarchies inside a single terminology system. Meanwhile, expressing mappings between concepts in different terminology systems is also possible with SKOS mapping properties. This poster discusses potential quality issues in using SKOS to express terminology mappings. Problematic patterns are defined and corresponding rules are developed to automatically detect situations where the mappings either result in ‘SKOS Vocabulary Hijacking’ or cause conflicts. The validation rules, expressed in N3 format, are available as open source.