一种基于网络分析的语义冗余发现方法
发布时间：2018-08-02 18:31
【摘要】：以农业AGROVOC本体为例,结合语义万维网推理机制定性分析冗余信息产生原因,利用复杂网络分析方法量化推理过程中产生的冗余,进而确定本体中的核心概念,解决推理冗余问题。实验表明,复杂网络分析方法可从定量角度找出核心节点及导致推理产生冗余的边,并揭示了语义冗余引起的推理效率降低问题。为优化本体设计、提高推理效率提供了一种新的可行方法。
[Abstract]:Taking agricultural AGROVOC ontology as an example, combining with semantic World wide Web reasoning mechanism to qualitatively analyze the causes of redundant information, this paper uses complex network analysis method to quantify the redundancy in reasoning process, and then determines the core concepts of ontology. Solve the problem of reasoning redundancy. The experiments show that the complex network analysis method can find out the core nodes and the edges that lead to the redundancy of reasoning from the quantitative point of view, and reveal the problem of reducing the efficiency of reasoning caused by semantic redundancy. It provides a new feasible method for optimizing ontology design and improving reasoning efficiency.
【作者单位】： 西南大学计算机与信息科学学院;西南大学智能软件与软件工程重点实验室;
【基金】：国家高技术研究发展计划项目(2013AA013801) 国家自然科学基金(61402379,61403315) 重庆市研究生科研创新项目(CYS14063)
【分类号】：TP393.0;O157.5
，
本文编号：2160329
[Abstract]:Taking agricultural AGROVOC ontology as an example, combining with semantic World wide Web reasoning mechanism to qualitatively analyze the causes of redundant information, this paper uses complex network analysis method to quantify the redundancy in reasoning process, and then determines the core concepts of ontology. Solve the problem of reasoning redundancy. The experiments show that the complex network analysis method can find out the core nodes and the edges that lead to the redundancy of reasoning from the quantitative point of view, and reveal the problem of reducing the efficiency of reasoning caused by semantic redundancy. It provides a new feasible method for optimizing ontology design and improving reasoning efficiency.
【作者单位】： 西南大学计算机与信息科学学院;西南大学智能软件与软件工程重点实验室;
【基金】：国家高技术研究发展计划项目(2013AA013801) 国家自然科学基金(61402379,61403315) 重庆市研究生科研创新项目(CYS14063)
【分类号】：TP393.0;O157.5
，
本文编号：2160329
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