会议论文详细信息
2017 2nd International Seminar on Advances in Materials Science and Engineering
HWDA: A coherence recognition and resolution algorithm for hybrid web data aggregation
Guo, Shuhang^1 ; Wang, Jian^1 ; Wang, Tong^1
Central University of Finance and Economics, School of Information, China^1
关键词: Conflict Resolution;    Dependency graphs;    Dependency relationship;    Distributed data streams;    Language description;    Recognition algorithm;    Resolution algorithms;    Resolution methods;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/231/1/012058/pdf
DOI  :  10.1088/1757-899X/231/1/012058
来源: IOP
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【 摘 要 】

Aiming at the object confliction recognition and resolution problem for hybrid distributed data stream aggregation, a distributed data stream object coherence solution technology is proposed. Firstly, the framework was defined for the object coherence conflict recognition and resolution, named HWDA. Secondly, an object coherence recognition technology was proposed based on formal language description logic and hierarchical dependency relationship between logic rules. Thirdly, a conflict traversal recognition algorithm was proposed based on the defined dependency graph. Next, the conflict resolution technology was prompted based on resolution pattern matching including the definition of the three types of conflict, conflict resolution matching pattern and arbitration resolution method. At last, the experiment use two kinds of web test data sets to validate the effect of application utilizing the conflict recognition and resolution technology of HWDA.

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