Evaluating quality of ontology-driven conceptual models abstractions

被引：0
|
作者：
Romanenko, Elena [1 ]
Calvanese, Diego [1 ,2 ]
Guizzardi, Giancarlo [3 ]
机构：
[1] Free Univ Bozen Bolzano, KRDB Res Ctr Knowledge & Data, Bolzano, Italy
[2] Umea Univ, Dept Comp Sci, Umea, Sweden
[3] Univ Twente, Semant Cybersecur & Serv SCS, Enschede, Netherlands
来源：
DATA & KNOWLEDGE ENGINEERING | 2024年 / 153卷
关键词：
Conceptual model abstraction; Ontology-driven conceptual models; Quality evaluation of abstractions; Unified foundational ontology (UFO); FAIR model catalog; User studies in conceptual modeling; FOUNDATIONS;
D O I：
10.1016/j.datak.2024.102342
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The complexity of an (ontology-driven) conceptual model highly correlates with the complexity of the domain and software for which it is designed. With that in mind, an algorithm for producing ontology-driven conceptual model abstractions was previously proposed. In this paper, we empirically evaluate the quality of the abstractions produced by it. First, we have implemented and tested the last version of the algorithm over a FAIR catalog of models represented in the ontology-driven conceptual modeling language OntoUML. Second, we performed three user studies to evaluate the usefulness of the resulting abstractions as perceived by modelers. This paper reports on the findings of these experiments and reflects on how they can be exploited to improve the existing algorithm.
引用
收藏
页数：20
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