Visual ontology-based query approach for data access in heterogeneous expertise environment: Application in plm biomedical imaging

被引：0
|
作者：
Pham C.C. [1 ]
Durupt A. [1 ]
Matta N. [2 ]
Eynard B. [1 ]
机构：
[1] Université de Technologie de Compiègne, France
[2] Université de Technologie de Troyes, France
来源：
Computer-Aided Design and Applications | 2020年 / 17卷 / 02期
关键词：
Biomedical imaging; Ontology-based data query; Plm; Visual query;
D O I：
10.14733/cadaps.2020.226-248
中图分类号：
学科分类号：
摘要：
The volume and complexity of Biomedical Imaging (BMI) data can be handled by well-known Product Lifecycle Management (PLM) solutions if a research study in this field is modeled as a cyclic process of four phases: study specifications; raw data acquisition; data processing and results publication. However, current PLM systems do not provide easy, flexible and user-adapted data access, especially in the context of heterogeneity expertise environments such as BMI. This paper presents VAQUERO (VisuAlization and QUERy based Ontology), a visual ontology-based data query approach, that aims at providing different kinds of users in the BMI field (common/external, domain expert and technical users) with easy self-access to their data stored in a PLM Teamcenter system. © 2020 CAD Solutions, LLC.
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收藏
页码：226 / 248
页数：22
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