{'fraction_non_alphanumeric': 0.030612244897959183, 'fraction_numerical': 0.0, 'mean_word_length': 5.302752293577981, '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': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Knowledge Management Metrics Development: A Technical Approach

To "drill down" to this focus I need to properly set a context involving a number of elements. These are: the nature of measurement; its relation to KM Metrics; the connection between KM metrics development and a business process use case view of KM; the connection between the high level business use case: "Discover New Knowledge in Knowledge and information Bases," and its "Perform Measurement Modeling" Task; and finally, the connection of these to the Distributed Knowledge Management Systems (DKMS) concept and the specific, projected information systems application. A good bit of this paper will set this context.