NDLI: Health-connect: An ontology-based model-driven information integration framework and its application to integrating clinical databases

Content Provider	IEEE Xplore Digital Library
Author	Junhee Park Lee, E.K. Qingyang Wang Li, J. Qifeng Lin Pu, C.
Copyright Year	2012
Description	Author affiliation: College of Computing, Georgia Institute of Technology, Atlanta, USA (Junhee Park; Qingyang Wang; Li, J.; Qifeng Lin; Pu, C.) \|\| School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, USA (Lee, E.K.)
Abstract	Information integration, interoperability and adaptation to evolving data are the key components of clinical information system with high potential impact. Most existing systems accomplish integration and interoperability by employing specific data model standards with static mapping rules that makes system inflexible and inextensible. In response to this drawback, we present Health-Connect system that exploits ontology-based model-driven code generation process to provide integration among heterogeneous databases and adaptation capability for frequent requirements changes. Given an ER model over each source-ontology, our tools are able to generate integrated database schema, dynamically create mapping between data sources using UMLS, translates user queries to access the data sources. In addition, this approach provides domain experts a higher level of operation abstraction. Our positive experience shows ontology-based model-driven code generation is a promising approach for clinical information systems that integrate heterogeneous sources and evolve as the application and data sources changes.
Starting Page	393
Ending Page	400
File Size	189953
Page Count	8
File Format	PDF
ISBN	9781467322829
e-ISBN	9781467322843
e-ISBN	9781467322836
DOI	10.1109/IRI.2012.6303036
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Unified modeling language Data models Ontologies XML Erbium Semantics Databases Health informatics Ontology Model-driven Code generation Information integration
Content Type	Text
Resource Type	Article

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