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Knowledge Graph Extension Based on Crowdsourcing in Textile and Clothing Field

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摘要 Generally,knowledge extraction technology is used to obtain nodes and relationships of unstructured data and structured data,and then the data fuse with the original knowledge graph to achieve the extension of the knowledge graph.Because the concepts and knowledge structures expressed on the Internet have problems of multi-source heterogeneity and low accuracy,it is usually difficult to achieve a good effect simply by using knowledge extraction technology.Considering that domain knowledge is highly dependent on the relevant expert knowledge,the method of this paper try to expand the domain knowledge through the crowdsourcing method.The method split the domain knowledge system into subgraph of knowledge according to corresponding concept,form subtasks with moderate granularity,and use the crowdsourcing technology for the acquisition and integration of knowledge subgraph to improve the knowledge system.
作者 CAI Zhijian LI Xinjie TAO Ran SHI Youqun 蔡志坚;李欣洁;陶然;史有群(College of Computer Science and Technology,Donghua University,Shanghai 201620,China;College of Information Science and Technology,Donghua University,Shanghai 201620,China)
出处 《Journal of Donghua University(English Edition)》 EI CAS 2020年第3期217-223,共7页 东华大学学报(英文版)
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