Fuzzy Quantification over OWL Ontologies and Knowledge Graphs
arXiv:2606.25778v1 Announce Type: new Abstract: 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, ...
arXiv cs.AI
·Enrique Palac\'in, Fernando Bobillo, Ignacio Huitzil, Francesca A. Lisi, Umberto Straccia
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