用全局归一化评价分类中语义相似度的关联数据语义距离

IF 0.4 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
Anna Formica, Francesco Taglino
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引用次数: 0

摘要

在这项工作中,研究了依赖于信息内容的概念来评估分类法中语义相似性的问题。特别是,考虑到不仅考虑到概念的一般意义,而且考虑到其在给定上下文中的预期意义的度量。这种度量需要一种语义相关性方法来评估概念的一般意义和意图意义之间的相关性。在这项工作中,我们表明,相对于作者的原始建议,依赖具有全局归一化的关联数据语义距离导致更高的Spearman与人类判断的相关值。DOI: 10.61416 / ceai.v25i2.8353
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linked Data Semantic Distance with Global Normalization for evaluating Semantic Similarity in a Taxonomy
In this work the problem of evaluating semantic similarity in a taxonomy by relying on the notion of information content is investigated. In particular, a measure that takes into account not only the generic sense of a concept but also its intended sense in a given context is considered. Such a measure needs a semantic relatedness approach in order to evaluate the relatedness between the generic sense and the intended sense of a concept. In this work we show that relying on the Linked Data Semantic Distance with Global Normalization leads to higher Spearman's correlation values with human judgment with respect to the original proposal of the authors. DOI: 10.61416/ceai.v25i2.8353
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来源期刊
CiteScore
1.50
自引率
22.20%
发文量
0
审稿时长
6 months
期刊介绍: The Journal is promoting theoretical and practical results in a large research field of Control Engineering and Technical Informatics. It has been published since 1999 under the Romanian Society of Control Engineering and Technical Informatics coordination, in its quality of IFAC Romanian National Member Organization and it appears quarterly. Each issue has up to 12 papers from various areas such as control theory, computer engineering, and applied informatics. Basic topics included in our Journal since 1999 have been time-invariant control systems, including robustness, stability, time delay aspects; advanced control strategies, including adaptive, predictive, nonlinear, intelligent, multi-model techniques; intelligent control techniques such as fuzzy, neural, genetic algorithms, and expert systems; and discrete event and hybrid systems, networks and embedded systems. Application areas covered have been environmental engineering, power systems, biomedical engineering, industrial and mobile robotics, and manufacturing.
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