DEVELOPMENT AND APPLICATION OF A METRIC ON SEMANTIC NETS
DEVELOPMENT AND APPLICATION OF A METRIC ON SEMANTIC NETS
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DOI：
10.1109/21.24528
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发表时间：
1989-01-01
期刊：
影响因子：
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通讯作者：
BLETTNER, M
中科院分区：
文献类型：
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作者：
RADA, R;MILI, H;BLETTNER, M
受激活扩散和概念距离的性质的启发，作者提出了一个度量，称为距离，在一个语义网络中的节点的权力集。距离是两个节点子集之间的所有节点成对组合上的平均最小路径长度。距离可以成功地用于评估概念集之间的概念距离，当用于层次关系的语义网络时。当使用其他类型的关系时，如“原因”，距离必须被修正，但随后可以再次有效。距离判断与人们的距离判断显著相关，并有助于确定一个语义网比另一个更好或更差。作者专注于距离的数学特征，提出了新的情况和解释。距离被应用到概念对和概念集的分层知识库中的实验显示了层次关系在表示概念之间的概念距离的信息中的能力。<>
Motivated by the properties of spreading activation and conceptual distance, the authors propose a metric, called distance, on the power set of nodes in a semantic net. Distance is the average minimum path length over all pairwise combinations of nodes between two subsets of nodes. Distance can be successfully used to assess the conceptual distance between sets of concepts when used on a semantic net of hierarchical relations. When other kinds of relationships, like 'cause', are used, distance must be amended but then can again be effective. The judgements of distance significantly correlate with the distance judgements that people make and help to determine whether one semantic net is better or worse than another. The authors focus on the mathematical characteristics of distance that presents novel cases and interpretations. Experiments in which distance is applied to pairs of concepts and to sets of concepts in a hierarchical knowledge base show the power of hierarchical relations in representing information about the conceptual distance between concepts.<>