Visual Ontology Based Query Approach for Data Access in Heterogeneous Expertise Environment: Application in PLM Biomedical Imaging
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.
Computer Aided Design and Applications