基于Folksonomy和本体建模的碳排放预警指标体系构建

Construction of Early Warning Indicator System for Carbon Emission Based on Folksonomy and Ontology Modeling

现有的碳排放预警系统指标构建中存在许多缺陷,笔者在低碳网站上利用自由分类法(Folksonomy)来提取标签,并利用本体建模对热门标签进行规范形成指标本体,借助用户的力量来实现碳排放预警指标的构建和预警阈值的设置,建立一种分层的碳排放预警体系,从而提高预警指标构建的科学性和自动化程度。

Since there exist many tefects in the construction of indicators for carbon emission warning sys- tem, the authors use Folksonomy to extract the tags from low carbon site, and use ontology modeling on the popular tags to regulate the formation of the indicators ontology, with the user＇ s power to achieve carbon emission warning indicators and warning threshold settings to establish a hierarchical early warning indi- cator system for carbon emission, thereby enhancing the scientific nature and the degree of automation of the carbon emission warning indicators built.