Semiautomatic System Domain Data Analysis: A Smart Grid Feasibility Case Study
提出一种半自动系统领域数据分析方法，通过迭代采集和分析大量文献数据、生成领域分类并创建领域模型，在智能电网案例中验证了其成本效益优于传统人工方法。
This paper proposes a novel semiautomatic system domain data analysis method. The method is based on the iterative acquisition and analysis of a large body of bibliometric data, generation of domain taxonomies, and creation of domain models. The method was applied on a smart grid case study through collection and analysis of more than 6000 documents. We have found that our method produces domain models of comparable quality to the traditional manually produced domain models in a more cost-effective way.