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| Research on Patterns and Methods for Knowledge Construction and Reuse in a Complex Information Environment |
| Zhao Zhiyun, Liu Yao, Zhu Lijun, Wu Xinyu |
| Institute of Scientific and Technical Information of China, Beijing 100038 |
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Abstract The current complex information environment poses new challenges to scientific and technological intelligence research, as large-scale digital resources in open-source intelligence require the guidance of advanced knowledge organization and reuse patterns and methods to support demand-oriented scientific and technological intelligence services. Although many enterprises and institutions in various industries have studied the construction of large-scale digital resources and service platforms, these constructions and platforms remain inadequate in handling multiple business requirements and providing personalized services, which can be mainly manifested in two core problems. First, the existing expensive knowledge system construction scheme performs poorly in solving problems and meeting personalized requirements, and it lacks the ability to use existing knowledge to quickly respond to and solve problems. Second, existing studies focus on semantic structure and knowledge base construction, as well as system function design of service platforms, which shows an absence of business-driven and problem-driven capabilities, leading to a clear rift between knowledge organization and knowledge utilization. Thus, this study first analyzes the business requirements, guided by the business organization model theory and method. Through the research on the automatic construction of business models, this paper forms a personalized business model on the basis of resource characteristics. Given the lack of flexible resource construction solutions and low data utilization in the current knowledge organization model, this paper establishes an efficient and agile knowledge organization mechanism, using technical means, such as complete analysis of individual articles and self-organization of multiple articles, to rapidly analyze resources, providing technical support for the knowledge services in practical projects. Taking the new service platform and specific services based on SaaS (software as a service) and PaaS (platform as a service) as an example, this paper establishes a knowledge reuse pattern on the basis of technology and engineering to effectively solve the practical problems of knowledge system construction and reuse.
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Received: 28 July 2022
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