论文标题
COVID-19和公司知识图：通过AI推理评估选择性锁定的黄金大国和经济影响
COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning
论文作者
论文摘要
在Covid-19爆发中，政府对生产活动进行了渐进式限制，仅允许那些被认为是战略性或提供必不可少的服务的人。这在病毒严重困难的国家中尤其明显，意大利是一个主要的例子。然而，我们知道公司不仅是孤立的实体：它们将自己组织成复杂的股权结构 - 建立公司网络 - - 出于各种目的，在复杂的计划中分配决策能力和股息。 人工智能（AI）工具箱中的一种工具是在许多实体中执行推理任务特别有效的许多实体，这是知识图（kg）。在这项工作中，我们提出了一份远见卓识的意见，并报告了有关应用自动推理和知识图技术的持续工作，以解决COVID-19爆发对意大利公司网络的影响，并支持法律文书在保护战略公司免受接管方面的应用。
In the COVID-19 outbreak, governments have applied progressive restrictions to production activities, permitting only those that are considered strategic or that provide essential services. This is particularly apparent in countries that have been stricken hard by the virus, with Italy being a major example. Yet we know that companies are not just isolated entities: They organize themselves into intricate shareholding structures --- forming company networks --- distributing decision power and dividends in sophisticated schemes for various purposes. One tool from the Artificial Intelligence (AI) toolbox that is particularly effective to perform reasoning tasks on domains characterized by many entities highly interconnected with one another is Knowledge Graphs (KG). In this work, we present a visionary opinion and report on ongoing work about the application of Automated Reasoning and Knowledge Graph technology to address the impact of the COVID-19 outbreak on the network of Italian companies and support the application of legal instruments for the protection of strategic companies from takeovers.
