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A gene based semantic encoding method for subsumption testing and LCA detection

机译:一种基于基因的超限测试和LCA检测的语义编码方法

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摘要

In most sematic based service discovery procedure, subsumption testing and LCA (lowest common ancestor) detection are the necessary step. There are a lot of algorisms to do this job. However, in the multiple inheritance hierarchies' scenery, many traditional algorisms cannot work properly. In this paper, we propose a gene based ontology encoding method which can implement subsumption testing and LCA detection in constant time. Experimental results show that the proposed method can effectively reduce the time of semantic service discovery.
机译:在基于大多数基于SENATIC的服务发现过程中,SUBSUMINTY测试和LCA(最低公共祖先)检测是必要的步骤。有很多算法可以做这项工作。但是,在多重继承层次的风景中,许多传统算法无法正常工作。在本文中,我们提出了一种基于基于基于基因的本体编码方法,可以在恒定的时间内实现增量测试和LCA检测。实验结果表明,该方法可以有效地减少语义服务发现的时间。

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