Similarity measures for FL0 concept descriptions from an automata-theoretic point of view
Similarity measures for FL0 concept descriptions from an automata-theoretic point of view
复制标题
从自动机理论的角度来看 FL0 概念描述的相似性度量
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
B. Suntisrivaraporn
中科院分区：
文献类型：
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作者：
Teeradaj Racharak;B. Suntisrivaraporn
在描述逻辑(DLS)中，知识库(KBS)中的信息被概念描述捕获。传统的包含推理问题已被证明是数据挖掘系统和应用中不可缺少的问题。然而，当两个概念之间没有确定包含关系时，就不能给出这两个概念之间的分类关系。在这项工作中，我们为小语言FL0提出了新的语义相似度度量。这些度量是从自动机理论的角度考虑的结构特征包含而来的。提出的FL0语言的语义相似性度量概念计算了两个FL0概念描述w.r.t.之间的数值相似度。可展开的术语。
In Description Logics (DLs), information in knowledge bases (KBs) is captured by concept descriptions. The traditional reasoning problem of subsumption has been proven indispensable in DL systems and applications. However, when no subsumption relationship between two concepts is identified, no classification relationship among the two concepts can be given. In this work, we present novel semantic similarity measures for the small language FL0. The measures are derived from the structural characterization subsumption considered from an automata-theoretic point of view. The proposed concept of semantic similarity measures for the language FL0 computes a numerical degree of similarity between two FL0 concept descriptions w.r.t. unfoldable terminologies.