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Articles by Yuan Dong
Total Records ( 2 ) for Yuan Dong
  Yuan Dong , Zhong Xie , Baoqing Hu , Y. Huang and S. Zhang
  Study and formulate the data classification system and data standard, forming the Beibu Bay resources a standardized and environmental data system. Develop data acquisition and processing, database building and sharing technology standard, realizes data acquisition, conversion, processing, inspection, analysis, display the process sequence and sharing. According to the technical regulation, standard and integrated arrangement of Beibu Bay based data, thematic data resources environment, social and economic data and other data and information and combined with the network information technology, integrated "Guangxi Beibu Bay Economic Zone Based on the major projects" the implementation process of the acquisition, the formation of scientific data, analysis results and literature data, to establish a network of federal database, data network based on the intersection of environment, realize the network data integration; functional requirements through the analysis from the distributed environment, heterogeneous data processing, data integration and management, uncertainty, automation and intelligent and pointed out that the spatial data seamless integration is a systems engineering, need to meet the demanding requirements of in many aspects, Presents the design principle of system resources and environment in Beibu Bay seamless data integration system. A detailed analysis of the Beibu Bay resources and Environmental data system of spatial data center architecture and the general pattern, put forward the feasibility of seamless integration framework of spatial data center based on model. Research and design of system architecture for seamless integration of Beibu Bay of space data, focusing on design key components of seamless integration framework, global directory system, a multi-layer intelligent middleware etc.
  Xiong Jing , Liu Yun-Tong and Yuan Dong
  In most fields of Natural Language Processing (NLP), sentence similarity computing plays an important role. At the same time, the syntactic similarity computing is the basis of sentence similarity computing. This study introduces a dependency syntactic tree similarity computation method based on multi-features. The method studies many features of dependency syntactic tree including word and word’s POS of each node and the dependency type between them. Then the similarity algorithm is proposed after comprehensively analyzing all the features. The experimental result is satisfied as this method describes dependency syntactic tree more comprehensively and accurately.
 
 
 
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