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caCORE version 3: Implementation of a model driven, service-oriented architecture for semantic interoperability.

George A Komatsoulis1, Denise B Warzel, Francis W Hartel

  • 1National Cancer Institute Center for Bioinformatics (NCICB), 2115 E. Jefferson St., Suite 5000, Rockville, MD 20852, USA. komatsog@mail.nih.gov

Journal of Biomedical Informatics
|May 22, 2007
PubMed
Summary

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This summary is machine-generated.

The National Cancer Institute developed cancer Common Ontologic Representation Environment (caCORE) to enable interoperability in biomedical research. This infrastructure facilitates data access and understanding for cancer research systems.

Area of Science:

  • Biomedical Informatics
  • Health Informatics
  • Computer Science

Background:

  • Federated information systems require interoperability for resource access and utilization.
  • Biomedical research necessitates coordination of diverse and disparate data types.
  • The National Cancer Institute Center for Bioinformatics (NCICB) identified a need for enhanced interoperability in cancer research.

Purpose of the Study:

  • To introduce the cancer Common Ontologic Representation Environment (caCORE) as an interoperability infrastructure.
  • To explain how caCORE addresses both syntactic and semantic interoperability in biomedical systems.
  • To describe the components of the caCORE infrastructure and its application in cancer research.

Main Methods:

  • Development of caCORE based on Model Driven Architecture.

Related Experiment Videos

  • Integration of three core components: Enterprise Vocabulary Services, cancer Data Standards Repository, and a Domain Model Driven Architecture-based API.
  • Leveraging the caCORE infrastructure to build a Semantic Service-Oriented Architecture (SSOA) for cancer research.

    • Main Results:

    • caCORE provides a mechanism for creating interoperable biomedical information systems.
    • Systems built with caCORE achieve syntactic interoperability (data access) and semantic interoperability (data understanding).
    • The NCICB is utilizing caCORE to establish an SSOA for the cancer Biomedical Informatics Grid (caBIG).

    Conclusions:

    • caCORE is a foundational infrastructure for achieving interoperability in cancer research.
    • The integrated components of caCORE support standardized data access and comprehension.
    • The caCORE paradigm enables the development of advanced semantic architectures for collaborative cancer research.