一篇论文提出了一个能处理模糊量化查询的通用框架，不挑量化器类型和数据源，还开源了Q2S2实现。
该论文提出一个通用框架，用于在OWL本体和RDFS知识图谱上评估模糊量化查询。框架支持Type I和Type II模糊量化表达式的个体检索。核心优势在于不依赖特定量化器类型、评估方法或数据源。作者还发布了开源实现Q2S2以支持后续研究。
Fuzzy Quantification over OWL Ontologies and Knowledge Graphs
This paper presents a versatile framework for evaluating fuzzy quantification queries over both standard and fuzzy ontologies as well as knowledge graphs. The primary objective is the retrieval of individuals that satisfy queries articulated via Type I or Type II fuzzy quantified expressions. A key advantage of the proposed approach is its inherent adaptability: it remains entirely agnostic to the quantifier type, the underlying evaluation method, and the specific data source of the ontology (i.e., OWL ontologies or RDFS knowledge graphs). Furthermore, we present Q2S2, a publicly accessible implementation of this system developed to support future research.