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检索条件"机构=Key Laboratory of Symbolic Computation and Knowledge Engineering of the MoE"
891 条 记 录,以下是861-870 订阅
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Applying model-transformation techniques to ontology evolution
Applying model-transformation techniques to ontology evoluti...
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2nd International Conference on Grid Service engineering and Management, GSEM 2005 - Co-located with the 6th International Conference on Net.ObjectDays 2005, NODe 2005
作者: Jin, Longfei Liu, Lei Guo, Degui Key Laboratory of Symbolic Computation Knowledge Engineering of Ministry of Education of China Jilin University Changchun China
Ontology evolution in the Model Driven Semantic Web can be looked as a process of model transformations. A model-transformation based conceptual framework for ontology evolution is presented in the paper. Applications... 详细信息
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A conditioned secure access control model based on multi-weighted roles in workflow system
A conditioned secure access control model based on multi-wei...
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5th International Conference on Control and Automation, ICCA'05
作者: Zhang, Jian Sun, Jigui Li, Niya Hu, Chengquan College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University China
The traditional RBAC model already cannot express the complicated secure access control constraint of the workflow. Based on the traditional RBAC model, a new conditioned RBAC model named as CMWRBSAC is proposed on th... 详细信息
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A design of product configuration manager based on weight constraint parameter value in manufacture
A design of product configuration manager based on weight co...
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5th International Conference on Control and Automation, ICCA'05
作者: Li, Niya Liu, Dayou Zhang, Jian College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University China
The configuration problem in manufacture is more complicated than most other fields. Therefore, the design of modeling and reasoning module for product configuration manager in manufacture is very important and comple... 详细信息
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A PKI-based lightweight workflow model
A PKI-based lightweight workflow model
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5th International Conference on Control and Automation, ICCA'05
作者: Zhang, Jian Sun, Jigui Li, Niya Hu, Chengquan Li, Zehai College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education China
The workflow model is the abstract expression of the workflow or the business process. Following the WfMC reference model, a PKI-based lightweight workflow model named as PBLW is put forward in this paper. The framewo... 详细信息
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Operational semantics of ambient calculus
Operational semantics of ambient calculus
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SOSE 2005: IEEE International Workshop on Service-Oriented System engineering
作者: Zhang, Jing Jin, Ying Guo, De-Gui Liu, Lei Jin, Cheng-Zhi Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education of P.R.China Juin University Changchun 130012 China
Mobile ambients is a process calculus for modeling mobile agents in wide-area networks. It has important theoretical and practical values in studying concurrent and mobile computation as well as the security of intera... 详细信息
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A study on parallel semantics of constraint logic rograms
A study on parallel semantics of constraint logic rograms
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International Conference on Machine Learning and Cybernetics, ICMLC 2005
作者: Sun, Ji.-Gui Zhang, Yong-Gang College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory for Symbolic Computation and Knowledge Engineering Ministry of Education Changchun 130012 China
This paper presents two parallel semantics of constraint logic programs: multiset answer constraint semantics and game semantics, which differ entirely from the traditional semantics. When giving the first semantics, ... 详细信息
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Mining attributes' sequential patterns for error identification in data set
Mining attributes' sequential patterns for error identificat...
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International Conference on Machine Learning and Cybernetics, ICMLC 2005
作者: Liu, Ya-Bo Liu, Da-You College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China
It is well recognized that sequential pattern mining plays an essential role in many scientific and business domains. In this paper, a new extension of sequential pattern, attributes' sequential pattern, is propos... 详细信息
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Information flow security for interactive systems
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International Conference on Embedded and Ubiquitous Computing, EUC 2005
作者: Jin, Ying Liu, Lei Zheng, Xiao-Juan Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education of P.R. China Changchun 130012 China Software College Northeast Normal University Changchun 130117 China
The use of the Internet raises serious behavioural issues regarding, for example, security and the interaction among agents that may travel across links. Model-building such interactive systems is one of the biggest c... 详细信息
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Reasoning about ceteris paribus preference with constraint hierarchy framework
Reasoning about ceteris paribus preference with constraint h...
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International Conference on Machine Learning and Cybernetics (ICMLC)
作者: Yong-Gang Zhang Ji-Gui Sun Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China
CP-networks provide a convenient means for expressing preferences in reasoning, but it is not good at handling preferences with hard constraints. The paper proposes a new approach, which transforms the CP-network with... 详细信息
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A Distributed Q-Learning Algorithm for Multi-Agent Team Coordination
A Distributed Q-Learning Algorithm for Multi-Agent Team Coor...
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International Conference on Machine Learning and Cybernetics (ICMLC)
作者: Jing Huang Bo Yang Da-You Liu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China
Q-learning is an effective model-free reinforcement learning algorithm. However, Q-learning is centralized and competent only for single agent learning but not multi-agent learning because in later case the size of st... 详细信息
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