Paper Info
Title
eClims: an extensible and dynamic integration framework for biomedical information systems
Abstract
Biomedical Information Systems (BIS) require consideration of three types of variability: data variability induced by new high throughput technologies, schema or model variability induced by large scale studies or new fields of research, and knowledge variability resulting from new discoveries. Beyond data heterogeneity, managing variabilities in the context of BIS requires extensible and dynamic integration process. In this paper, we focus on data and schema variabilities and we propose an integration framework based on ontologies, master data, and semantic annotations. The framework addresses issues related to: 1) collaborative work through a dynamic integration process; 2) variability among studies using an annotation mechanism; 3) quality control over data and semantic annotations. Our approach relies on two levels of knowledge: BIS-related knowledge is modeled using an application ontology coupled with UML models that allow controlling data completeness and consistency, and domain knowledge is described by a domain ontology which ensures data coherence. A system build with the eClims framework has been implemented and evaluated in the context of a proteomic platform.
Year
DOI
Venue
2016
10.1109/JBHI.2015.2464353
IEEE J. Biomedical and Health Informatics
Keywords
Field
DocType
integration framework,ontology,proteomic platform,semantic annotation
Data integration,Ontology (information science),Information system,Data modeling,Ontology-based data integration,Domain knowledge,Information retrieval,Computer science,Master data,Context model
Journal
Volume
Issue
ISSN
PP
99
2168-2194
Citations 
PageRank 
References 
1
0.34
18
Authors
3
Name
Order
Citations
PageRank
SAVONNET, M.110.34
Eric Leclercq22815.63
Pierre Naubourg332.09