{'fraction_non_alphanumeric': 0.016634050880626222, 'fraction_numerical': 0.0, 'mean_word_length': 5.474683544303797, '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 behavior centric service discovery model for building knowledge advantage machine

Knowledge advantage Machine (KaM) is an advanced system for knowledge exploitation. In this paper, we propose a Behavior Centric Service Discovery model, which helps one or more knowledge-workers to discover useful knowledge objects dubbed JANs, and then link the JANs into a personal knowledge and a group knowledge network. We construct JAN as a service to semantically present three categories of service behavior: expected service behavior that presents what requestor expects it to serve; actual service behavior that presents how it offers its service; and quality evaluation that presents whether its service behavior is consistent with requestor's expectation by checking conformance. On the basis of JAN linking, we build a KaM discovery Agent prototype to implement JAN discovery and linking. This is illustrated using an academic research scenario. Experimental results show that the proposed method is feasible and effective.