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Generalization of Two Hypergraphs. Algorithm of Calculation of the Greatest Sub-Hypergraph Commonto Two Hypergraphs Annotated by Semantic Information

机译:两个超图的推广。语义信息标注的两个超图共有的最大子超图的计算算法

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摘要

The problem of the search of the greatest sub-hypergraph common to two hypergraph is a combina- tional search problem. The algorithm of exploration of all solutions has an exponential complexity according to the size of the tow hypergraphs. In this article, we present methods to minimize the neces- sary time for the calculation of these solutions. These methods constitute a general framework of the study of these problems and can be used in many areas such natural language, pattern recognition or organic chemistry.
机译:两个超图共有的最大子超图的搜索问题是组合搜索问题。根据拖曳超图的大小,探索所有解决方案的算法具有指数复杂性。在本文中,我们提出了一些方法来最小化这些解决方案的计算所需的时间。这些方法构成了研究这些问题的通用框架,可用于许多领域,例如自然语言,模式识别或有机化学。

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