Semantic Modeling of the Emissions Trading System

Cecilia Camporeale, Antonio De Nicola, V. Rosato, M. Villani, U. Ciorba
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引用次数: 1

Abstract

Fight against global warming is a tough challenge requiring synergic efforts from governments, industry and scientific communities. Facing these challenges by means of sectorial or local approaches is a loosing strategy. A holistic approach is required to provide more flexibility and prompt responses to unpredicted side effects on environment, economy and society due to low carbon society policies. Furthermore coping with such complexity requires the adoption of decision support systems providing policy makers with possible scenarios and countermeasures. Precondition to them is to reach a common understanding on such domains as a formal specification. Ontologies are considered widely accepted means to share knowledge. They enable advanced semantic services to manage knowledge in a more effective and smart way. In this paper we address the European Emissions Trading System and we present the EREON ontology to represent knowledge on such domain. In particular we focus on contextual knowledge modeled as concepts and rules. Finally, we present the data acquisition and the data analysis services as applications of such ontology.
碳排放交易系统的语义建模
应对全球变暖是一项艰巨的挑战,需要政府、工业和科学界的协同努力。通过部门或地方方法来面对这些挑战是一种失败的战略。为了应对低碳社会政策对环境、经济、社会带来的不可预测的副作用,需要更灵活、更迅速的综合对策。此外,应对这种复杂性需要采用决策支持系统,为决策者提供可能的情景和对策。它们的先决条件是在正式规范等领域达成共同的理解。本体论被认为是广泛接受的共享知识的手段。它们使高级语义服务能够以更有效和智能的方式管理知识。在本文中,我们讨论了欧洲排放交易系统,并提出了EREON本体来表示该领域的知识。我们特别关注以概念和规则为模型的上下文知识。最后,我们提出了数据采集和数据分析服务作为该本体的应用。
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