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Main Page for Requirements Gathering

Requirements planning for next generation semantics infrastructure 

This page is a gateway into the requirements gathering process for the next generation semantic infrastructure for caBIG®. The semantics computing capabilities to support interoperability in an SOA demand enhancements and new infrastructure to support the vision described below. This page contains links to the related documents and projects tied to development of new capbilities.

Vocabulary Knowledge Center Semantics Requirements Forum (VKC)

The community was asked to tell us what their requirements are for the next generation infrastructure and the VKC Semantics Requirement Forum was created for this purpose. Please feel free to visit the site and comment or contirbute additional ideas.

Background

The Semantic Infrastructure and Operations Group is responsible for the semantic aspects of the CORE Program Area, the caBIG® Vocabulary and Common Data Elements Workspace, and certain aspects of the caBIG Architecture Workspace, and caGrid®.

The activities of the NCI CBIIT Semantics and Operations Group fall into three areas:

  • Content Management - the processes and procedures that ensure the breadth and quality of the metadata and terminology used to record the semantics of data meet the needs of the caBIG® community.
  • Semantics Infrastructure - design and development of  software resources and operations including producing reference implementations of platform independent models
  • Semantics Architecture and Management - defining the platform independent (as also called "implementation Independent") specification for systems and processes required to meet the semantics needs of the CBIIT/caBIG enterprise, and for assuring that operational requirements for semantics support are met ina timely and reliable way.

Our vision is to provide computational and human interpretable representation of the meaning and context of data and services. Realization of this goal is a vital to enable the caBIG® community to revolutionize biomedical research, personalized medicine, and integrated care.  To achieve this vision, the semantic infrastructure must:

-          Continue to provide caBIG with computationally tractable representations of the meaning and representation of data, and to extend semantic support to analytic and other services so that they can be discovered, understood, and securely utilized.

-          Utilize a consistent, comprehensive information management discipline and software engineering standards such as ISO 10746 RM-ODP and its companion standard UML4ODP ISO 19793 to define both enterprise semantics needs and implementation neutral solutions to meet those needs.

-          Provide reference implementations of enterprise-level platform independent models addressing semantic needs, especially the need for behavioral semantics. 

-          Reduce the level of effort associated with creation of semantic information, in part by leveraging to the greatest extent possible automated approaches to harvest semantics information from line of business and software engineering activities

Metadata management for Semantics Support

The semantic model and infrastructure forms a key component of the caBIG® collaborative infrastructure. The current semantic infrastructure uses a modified version of ISO 11179 Ed2, which formed the seeds for the development of ISO 11179 Ed3, and is the central component in allowing data elements and models to be annotated with concepts, and curated and registered in a repository allowing lookup and retrieval by both end-users and applications.  It enables the automatic integration and transformations of data for sharing and collaboration by provisioning the infrastructure with clear, computable, and unambiguous data descriptors for those who would create software that can use and interpret the data in the service of cancer research. 

The goals of the next generation infrastructure is to make these capabilities available to everyone with coarser grained services that require little or no knowledge of teh complexities of the infrastrucdrture in order to gain its benefits.

Two additional opprotunities for improvement in the current infrastrucrture approach are:

1) the creation of this metadata is labor intensive and therefore does not scale well

2) the approach supports data discovery and interchange, but not services interoperability

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