• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Lin Leyu, Liu Lei, Wang Shi, Zheng Yufei, Feng Qiangze, Cao Cungen. MUIS: A New System of Multi-Domain Union of Information Sharing and Its Applications[J]. Journal of Computer Research and Development, 2008, 45(4): 684-694.
Citation: Lin Leyu, Liu Lei, Wang Shi, Zheng Yufei, Feng Qiangze, Cao Cungen. MUIS: A New System of Multi-Domain Union of Information Sharing and Its Applications[J]. Journal of Computer Research and Development, 2008, 45(4): 684-694.

MUIS: A New System of Multi-Domain Union of Information Sharing and Its Applications

More Information
  • Published Date: April 14, 2008
  • With the rapid development of network technology and the arrival of information period, information sharing has become a more and more important issue today in all enterprises. However, the structural heterogeneity and the geographical distribution of information make this problem more difficult and complex. In addition, the efficiency of query information from the Internet is too poor to satisfy the requirement. In this paper, a model of MUIS (multi-domain union of information sharing) is proposed to deal with this problem, which could be propitious to the information sharing and information retrieval across the multiple domains. The model can efficiently integrate and share heterogeneous databases geographically distributed and resided in different environments with the multi-agent cooperation. After summarizing the model of single-domain union of information sharing, the overall structure and major components of the model of MUIS, including standardization of heterogeneous databases, URI remote access, cross-domain query, inter-site query, and natural language interface are presented. The detailed definition of several kinds of agents and the multi-agent cooperation in this model are also presented. This system is implemented and applied in several areas such as agricultural information sharing and yellow pages sharing, and currently each MUIS system contains some databases from several websites.
  • Related Articles

    [1]Yan Xiaoqiang, Ye Yangdong. Cross-Media Clustering by Share and Private Information Maximization[J]. Journal of Computer Research and Development, 2019, 56(7): 1370-1382. DOI: 10.7544/issn1000-1239.2019.20180470
    [2]Zhang Heng, Zhang Libo, WuYanjun. Large-Scale Graph Processing on Multi-GPU Platforms[J]. Journal of Computer Research and Development, 2018, 55(2): 273-288. DOI: 10.7544/issn1000-1239.2018.20170697
    [3]Dong Menggao, Mao Xinjun, Guo Yi, Qi Zhichang. Representing and Perceiving Environment of Complex Self-Adaptive Multi-Agent Systems[J]. Journal of Computer Research and Development, 2012, 49(2): 402-412.
    [4]Cheng Bailiang, Zeng Guosun, Jie Anquan. Study of Multi-Agent Trust Coalition Based on Self-Organization Evolution[J]. Journal of Computer Research and Development, 2010, 47(8): 1382-1391.
    [5]Tong Xiangrong, Huang Houkuan, Zhang Wei. A Case Based Agent Multi-Issue Negotiation Model[J]. Journal of Computer Research and Development, 2009, 46(9): 1508-1514.
    [6]He Lijian, Huang Houkuan, Zhang Wei. A Survey of Trust and Reputation Systems in Multi Agent Systems[J]. Journal of Computer Research and Development, 2008, 45(7).
    [7]Yang Pei, Gao Yang, Chen Zhaoqian. Persuasive Multi-Agent Multi-Issue Negotiation[J]. Journal of Computer Research and Development, 2006, 43(7): 1149-1154.
    [8]Wu Zhifeng, Huang Houkuan, Zhao Xiang. A BinaryEncoding Differential Evolution Algorithm for Agent Coalition[J]. Journal of Computer Research and Development, 2005, 42(5): 848-852.
    [9]Wu Zhifeng, Huang Houkuan, Zhao Xiang. A BinaryEncoding Differential Evolution Algorithm for Agent Coalition[J]. Journal of Computer Research and Development, 2005, 42(5): 848-852.
    [10]Xia Na, Jiang Jianguo, Wei Xing, and Zhang Ling. Searching for Agent Coalition for Single Task Using Improved Ant Colony Algorithm[J]. Journal of Computer Research and Development, 2005, 42(5): 734-739.

Catalog

    Article views (968) PDF downloads (518) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return