caCORE version 3: Implementation of a model driven, service-oriented architecture for semantic interoperability.
One of the requirements for a federated information system is interoperability, the ability of one computer system to access and use the resources of another system. This feature is particularly important in biomedical research systems, which need to coordinate a variety of disparate types of data. In order to meet this need, the National Cancer Institute Center for Bioinformatics (NCICB) has created the cancer Common Ontologic Representation Environment (caCORE), an interoperability infrastructure based on Model Driven Architecture. The caCORE infrastructure provides a mechanism to create interoperable biomedical information systems. Systems built using the caCORE paradigm address both aspects of interoperability: the ability to access data (syntactic interoperability) and understand the data once retrieved (semantic interoperability). This infrastructure consists of an integrated set of three major components: a controlled terminology service (Enterprise Vocabulary Services), a standards-based metadata repository (the cancer Data Standards Repository) and an information system with an Application Programming Interface (API) based on Domain Model Driven Architecture. This infrastructure is being leveraged to create a Semantic Service-Oriented Architecture (SSOA) for cancer research by the National Cancer Institute's cancer Biomedical Informatics Grid (caBIG).
Komatsoulis
George A
GA
National Cancer Institute Center for Bioinformatics (NCICB), 2115 E. Jefferson St., Suite 5000, Rockville, MD 20852, USA. komatsog@mail.nih.gov
Warzel
Denise B
DB
Hartel
Francis W
FW
Shanbhag
Krishnakant
K
Chilukuri
Ram
R
Fragoso
Gilberto
G
Coronado
Sherri de
Sd
Reeves
Dianne M
DM
Hadfield
Jillaine B
JB
Ludet
Christophe
C
Covitz
Peter A
PA
D019295:Computational Biology / Q000379:methods*; D003628:Database Management Systems; D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D015201:Meta-Analysis as Topic; D008962:Models, Theoretical; D054547:National Cancer Institute (U.S.); D012660:Semantics; D014481:United States; D018875:Vocabulary, Controlled