{'fraction_non_alphanumeric': 0.02181818181818182, 'fraction_numerical': 0.0036363636363636364, 'mean_word_length': 5.672727272727273, '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}}
D 10 . 01-Semantic Innovation Management across the Extended Enterprise

Innovation is the power for enterprises to survive and succeed in current competitive environment. Due to the distributed and heterogeneous characteristics of innovation information, it is difficult to manage the innovation process effectively and efficiently across the extended enterprise. However, the emerging and rapid development of semantic web technologies brings new opportunities. In this paper, a novel vision about Semantic Innovation Management (SIM) is introduced. The system architecture for SIM, which combined ontology, inference and mediation technologies in semantic web, is discussed. A functional framework of SIM System (SIMS) based on metadata harvesting and RDF data access technologies is presented. Finally, an applied SIMS case study implemented by using commercial semantic web software including RDF Gateway, Kapow HTML wrapper, etc. is explained in detail. Our work has demonstrated the potential to adopt semantic web technologies to improve innovation management across the extended enterprises.