Today, with the emergence of semantic web technologies and increasing of information quantity, searching for information based on the semantic web has become a fertile area of research. For this reason, a large number of studies are performed based on the measure of semantic similarity. Therefore, in this paper, we propose a new method of semantic similarity measuring which uses the dynamic programming to compute the semantic distance between any two concepts defined in the same hierarchy of ontology. Then, we base on this result to compute the semantic similarity. Finally, we present an experimental comparison between our method and other methods of similarity measuring. Where we will show the limits of these methods and how we avoid them with our method. This one bases on a function of weight allocation, which allows finding different rate of semantic similarity between a given concept and two other sibling concepts which is impossible using the other methods.
翻译：今天,随着语义网络技术的出现和信息数量的增加,根据语义网络搜索信息已成为一个肥沃的研究领域。因此,大量研究是根据语义相似性测量的。因此,我们在本文件中提出一种新的语义相似性测量方法,利用动态编程来计算同一语种层次下界定的任何两个概念之间的语义距离。然后,我们以这一结果为基础来计算语义相似性。最后,我们提出一种实验性比较,将我们的方法与其他类似性测量方法进行比较。我们将在其中展示这些方法的局限性和我们如何避免使用我们的方法。这一方法基于权重分配的函数,可以找到特定概念与其他方法无法使用的另外两个语义概念之间的语义相似性差异率。
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