We study the problem of instance alignment between knowledge bases (KBs). Existing approaches, exploiting the “symmetry” of structure and information across KBs, suffer in the presence of asymmetry, which is frequent as KBs are independently built. Specifically, we observe three types of asymmetries (in concepts, in features, and in structures). Our goal is to identify key techniques to reduce ...

In this paper, we introduce the Minkowski measure of asymmetry for spherical bodies constant width. Then prove that balls are most symmetric among all width, and completion regular simplexes asymmetric bodies.

This study aims to determine the effect of information asymmetry on earnings management, accounting fraud, budgetary slack, and cost equity. is conducted using literature techniques by finding facts making interpretations. Data sources are obtained from results previous studies, 2017 2020, which have been published in various national journals. concludes that has a positive management; fraud; s...

This study focuses on the use of Instagram by tourism companies. Specifically, it aims to analyze how empowers individuals over corporations in digital dialogue, thus balancing information asymmetry between and stakeholders. Four categories metrics have been collected companies: presence, impact, conversation, influence. Additionally, OLS regressions performed identify potential explanatory fac...

A new cost function based on stochastic fuzzy discrimination information measure is introduced in this paper. Focusing on their significant parts, this cost function is used to find the optimal value of threshold for denoising image. It is, in fact, an extension of fuzzy entropy cost function by the present author. Multivariable normal distribution is used for creating focus on significant part...