{'fraction_non_alphanumeric': 0.0175054704595186, 'fraction_numerical': 0.0, 'mean_word_length': 5.1066666666666665, '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}}
Type based abstraction for QoI aware applications

We describe Quality of Information (QoI) in terms of Type Theory in order to: clarify the meaning of QoI and desired capabilities of “quality aware” systems; to show how any quality metric can be expressed as a function of data and data provenance which negates the need for specific quality annotations; and to indicate how data processing may automatically be applied to deliver high quality information.