NIH | National Cancer Institute | NCI Wiki  

Error rendering macro 'rw-search'

null

  • Created by Unknown User (wileyal), last modified by Unknown User (lynchce) on Sep 22, 2010

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 21 Next »

The section will provide an assessment of the gap between the roadmap and existing tools and platform.

Existing NCI Semantic Infrastructure

 The NCI semantic infrastructure currently consists of a suite of tools aimed at terminological curation of models submitted as UML XMI files for semi-automated annotation, terminology services for concept lookup and codesystem browsing, and basic terminology and ontological relationships in the NCI Thesaurus and Metathesuarus. This bundle of infrastructure applications are termed caCORE (Cancer Common Ontologic Representation Environment).

caCORE tools and APIs are developed by the National Cancer Institute Center for Bioinformatics and Information Technology (NCI CBIIT) to provide the building blocks for development of interoperable information management systems. This suite of tools has helped to enable interoperability and data sharing from the scientific bench to the clinical bedside and back in the current SI.

caCORE includes the following key components:

  • EVS (Enterprise Vocabulary Services) for hosting and managing vocabulary.
  • caDSR (Cancer Data Standards Registry and Repository) for hosting and managing metadata.
  • caCORE SDK, the GUI-based caCORE Workbench, and associated tools for model-driven software engineering of systems which can be easily integrated with caGrid.

EVS and the caDSR database and tools are the current basis of the semantic foundation for interoperable data and analytical services at NCI. caDSR is based on the ISO 11179 Part 3 metadata standard.

Developers use caCORE components to create "caCORE-like" systems. By definition these systems have object-oriented information models registered in caDSR whose meaning is linked to EVS vocabularies, and have open, public APIs and web services to provide access to the data. The caBIO data service is an example of a caCORE-like system developed using caCORE components.

Using caCORE tools, developers adapt and build applications that are caBIG® compatible, that is, interoperable with other caBIG® tools.

caCore tools include the following:

Additionally the caCore includes the caCore workbench.

The caCORE Workbench is a tool with a graphical user interface (GUI) to facilitate the creation of a caBIG® silver or gold compliant system. The caCORE Workbench acts as a process guide and an integrated platform, enabling the user to more readily create a Data or Analytical service on the Grid. The following caBIG® process workflows are supported:

  • Creation of a UML Model (ArgoUML, Enterprise Architect)
  • Semantic integration (SIW, CDE Browser, UML Model Browser, Curation Tool)
  • Model mapping (caAdapter)
  • Application creation and deployment (SDK)
  • Creation of a grid service (Introduce) 

Proposed Features in the SIV2 Roadmap

The proposed SIV2 is meant to provide a means of fully supporting the existing NCI Semantic Infrastructure while providing a means of ongoing transformation of the existing artifacts and creation of equivalent tooling to support all current functionality of the SI. The major

The SIV2 extends the current functionality of the Semantic Infrastructure by adding the following functionality:

  • A new means of assessing conformance of artifacts and applications to improve software development and semantic consistency
  • A semantically linked artifact repository for easy discovery of the registry contents
  • A metadata repository that links to the artifact repository
  • A cross artifacts editing dashboard that allows model artifacts to be linked to other artifacts such as terminology value sets
  • A rules engine for operatiing on the artifact repository and metadata repository to enable dynamic annotation and the comparison of artifacts
  • A reasoning platform that executes inferencing and links to rule engines enbaling the discovery of implicit information rather than soley explicit information
  • Introduction of additional semantic modeling standards (ISO 21090, HL7 RIM, Semantic Web Languages (OWL, RDF)) in order to handle the broad requirements of enabling simpler query functions and enriched data discovery
  • An automated artifact governance platform
  • Mutiple model transformation tools and APIs
  • Tools for authoring standards compliant artifacts including schemas, models, and terminology value sets
  • Tools for authoring forms using the new semantic models in order to meet the demands of customers who require these to meet meaningful use requirements and who want full semantics for data aggregation and discovery
  • Broad use of Model Driven Architecture technologies
  • Close integration with caGRID 2.0


  • No labels