面向低碳社会的语义服务：在排放交易系统数据和情景管理中的应用
Semantics-based services for a low carbon society: An application on emissions trading system data and scenarios management
摘要：
低碳社会旨在通过激励政府、工业和科学界的协同努力来应对全球变暖。应采用决策支持系统，为政策制定者提供可能的情景，在低碳社会政策对环境、经济和社会产生副作用的情况下及时采取对策的选择，以及信息管理的选择。实现这一议程的一个必要前提是面对这一多学科领域的复杂性，并就其作为正式规范达成共识。本体论是一种被广泛接受的共享知识的方法。与语义规则一起，它们使高级语义服务能够以更智能的方式管理知识。在这里，我们解决欧洲排放交易系统（EU-ETS），我们提出了一个知识库组成的EREON本体和规则的目录。然后，我们描述了两个创新的语义服务来管理ETS的数据和信息ETS的情况。
英文摘要：
A low carbon society aims at fighting global warming by stimulating synergic efforts from governments, industry and scientific communities. Decision support systems should be adopted to provide policy makers with possible scenarios, options for prompt countermeasures in case of side effects on environment, economy and society due to low carbon society policies, and also options for information management. A necessary precondition to fulfill this agenda is to face the complexity of this multi-disciplinary domain and to reach a common understanding on it as a formal specification. Ontologies are widely accepted means to share knowledge. Together with semantic rules, they enable advanced semantic services to manage knowledge in a smarter way. Here we address the European Emissions Trading System (EU-ETS) and we present a knowledge base consisting of the EREON ontology and a catalogue of rules. Then we describe two innovative semantic services to manage ETS data and information on ETS scenarios.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
