The School of Information Resources Management of Renmin University of China is an institution specialized in information resources management teaching and research activities of Renmin University of China. It is one of the higher education and research institutions of information resources management with early establishment, large scale, complete disciplines, strong teachers and leading domestic and international influence in China, and it is also one of the important bases for teaching, research and personnel training in information management, information system, knowledge management, library and information, archives management and other disciplines in China.
The European Conference on Knowledge Management is the oldest and most influential top academic conference in the field of global knowledge management. International Academic Conference and Publishing Group is a group company specializing in international academic conferences, periodical editing and book publishing, headquartered in the UK.
The Outstanding Achievement Award for Knowledge Management and Intellectual Capital is an important award newly established by the European Knowledge Management Conference and the International Academic Conference and Publishing Group from 20 15. It aims to find the best practices accumulated by academia and industry in the field of knowledge management and reward the most groundbreaking achievements. The selection of awards needs to go through three stages: primary selection, re-selection, on-site presentation and expert voting. Finally, 10 people won this award. Associate Professor Zhao Lemen from the School of Information Resources Management of Renmin University of China is the only award-winning scholar from Chinese mainland this year. The reason for winning the prize is that he has made a breakthrough in the large-scale collaborative knowledge processing based on the semantic web, mainly focusing on the project of the National Natural Science Foundation-Research on the model of large-scale collaborative knowledge processing in the semantic web environment (approval number: 7 1 103020), and has made important achievements in the design, implementation and application research of large-scale collaborative knowledge management model in the semantic web environment.
(1) Three basic models of large-scale collaborative knowledge processing in semantic Web environment are proposed: object model, function model and agent interaction model. Knowledge object model mainly solves the problems of encapsulation, association, traceability and editing of knowledge objects; The interaction model mainly describes various subjects (experts, pro, computers and agents) in large-scale collaborative knowledge processing. The role orientation and cooperation mode of head agent and long tail agent reveal the interactive process of large-scale collaborative knowledge processing in semantic Web environment. The functional model mainly determines which functional elements are needed for large-scale collaborative knowledge processing and their relationships, and describes the whole life cycle of knowledge objects at three different levels: business layer, knowledge processing layer and semantic Web layer.
(2) The implementation framework and operation mechanism of large-scale collaborative knowledge processing model in semantic Web environment are proposed. According to the different requirements of knowledge processing software development and knowledge ecosystem construction, the technical framework of software system and the construction framework of organizational knowledge ecosystem are given respectively. On this basis, the corresponding security and trust mechanisms are further proposed.
(3) Verifiable application and typical case analysis are given. The new knowledge processing systems such as Amazon Mechanical Turk and DBpedia are mainly studied, and a typical application system is realized by OWL/SPARQL/Jena technology, and the research results are verified and optimized according to the application situation.
It is reported that since winning the International Emerald/EFMD Excellent Doctoral Dissertation Award, this is the second international award won by Associate Professor Chao Lemen from the School of Information Resources Management of Renmin University of China in the field of knowledge management. He has been insisting on the research and development of knowledge engineering based on semantic web, and has formed a series of research results. His theory of mass collaborative knowledge management aims to break through the research dilemma of knowledge management theory, re-examine the research responsibility and core competitiveness of knowledge management disciplines, reveal the inherent laws of emerging practices in knowledge management-related fields, and provide theoretical guidance for future knowledge management practices. It provides the research background, purpose, basic idea, theoretical system, methodology, methods, principles, processes, implementation framework and case analysis of large-scale collaborative knowledge management theory, which provides a new knowledge management method for the construction of contemporary organizational knowledge ecosystem and the research and development of knowledge processing software system, and has important reference value for reducing the cost and risk of organizational knowledge management and solving the contradiction between the degree of formalization and the scale of knowledge in knowledge base construction.
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