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The Semantic Infrastructure supports management, analysis, annotation, publication, query, and transformation of artifacts, including static and dynamic models.

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• 1.1 - Administer Artifacts Artifact lifecycle management defines profiles to manage the lifecycle, governance, provenance, versioning, and representation of artifacts, as well as the relationships between artifacts.
  • 1.1.1 - Governance Service Oriented Architecture is an architectural paradigm for organizing and utilizing distributed capabilities that may be under the control of different ownership domains. Consequently, it is important that organizations that plan to engage in service interactions adopt governance policies and procedures sufficient to ensure that there is standardization across both internal and external organizational boundaries to promote the effective creation and use of SOA-based services.
  • 1.1.2 - Load Load any new artifact, through multiple interfaces
  • 1.1.3 - Manage Determine provenance, jurisdiction, authority and intellectual property.
  • 1.1.4 - Register Mediated awareness promotes loose coupling by keeping the consumers and services from explicitly referring to each other and the descriptions. Mediation lets interaction vary independently. Rather than all potential service consumers being informed on a continual basis about all services, there is a known or agreed upon facility or location that houses the service description. A common mechanism for mediated awareness is a registry-repository.
  • 1.1.5 - Version The Semantic Infrastructure keeps track of each version, any relevant provenance information (e.g., who made the change), and supports the concept of being able to revert to any prior state. This version control would include the authoring of any new metadata (making contexts more explicit) and the assertions of model alignments.
• 1.2 - Analyze Artifacts Analyze Artifacts defines profiles supporting the analysis of artifacts utilizing semantic queries, reasoning, rules, and data mediation.
  • 1.2.1 - Analysis Information and behavioral models, in conjunction with discovery mechanisms, mediation, classification, traceability from requirement to operation, and interaction logs, enable comprehensive analysis to be performed through-out the life-cycle of artifacts , from design through run-time implementation.
  • 1.2.2 - Reasoning The semantic models managed by the Semantic Infrastructure enable enhanced reasoning.
  • 1.2.3 - Rules A Rule is a prescribed guide for carrying out activities and processes leading to desired results, e.g. the operational realization of policies. A Regulation is a mandated process or the specific details that derive from the interpretation of Rules and lead to measureable quantities against which compliance can be measured. Policy is made operational through the promulgating and implementing of Rules and Regulations
• 1.3 - Model and Annotate The Model and Annotate category defines profiles supporting models, and includes capabilities related to model maintenance, constraints, bindings, extensions, and semantic annotations.
  • 1.3.1 - Bind Models An artifact description associates a resource with normative definitions of value specifiers. A value specifier includes a collection of value sets. A value set is defined in terms of its structure and semantics. A property-value pair construct binds an artifact description to the semantics of a value set within a given execution context.
  • 1.3.2 - Constrain A policy represents some constraint or condition on the use, deployment or description of a resource as defined by a participant or, more generally, a stakeholder. A contract is a constraint that has the agreement of the constrained participants. A policy constraint is a measurable proposition that characterizes the constraint that the policy is about. A permission constraint governs the ability of a participant or other actor to perform an action or enter some specified state. An obligation constraint governs the requirement that a participant must perform some action or maintain some state.
  • 1.3.3 - Extend A policy represents some constraint or condition on the use, deployment or description of a resource as defined by a participant or, more generally, a stakeholder. A permission constraint governs the ability of a participant or other actor to perform an action or enter some specified state. The ability to extend a service specification, including any associated model artifact, is subject to the permission policies embodied in the contract between the participants.
  • 1.3.4 - Model Create, destroy, edit, and maintain models.
  • 1.3.5 - Semantic Annotation In a diverse information environment, semantics must be used to clearly indicate the meaning of data. This requirement is expected to be addressed by the Semantic Infrastructure, although there will be a touchpoint between the caGrid 2.0 and the Semantic Infrastructure to annotate data with semantics.
• 1.4 - Publish The ability to publish and discover information models will be supported by the semantic infrastructure, and the platform will leverage these capabilities.
  • 1.4.1 - Publish and Discover Information Models The ability to publish and discover information models will be supported by the semantic infrastructure, and the platform will leverage these capabilities.
• 1.5 - Search and Access The Semantic Infrastructure enables integrated access, search, and visualization of artifacts using a variety of search criteria, model serialization formats, and user interaction empowerment tools.
  • 1.5.1 - Access Download models/forms definitions in different formats.
  • 1.5.2 - Search Search, using different criteria.
  • 1.5.3 - View Information visualization.
• 1.6 - Transform Transform defines profiles for management and application of transformations to support multiple views, serialization formats, inter-operability, semantic convergence, model migration, model merge and compare, and provisioning of target artifacts.
  • 1.6.1 - Associate Transforms Integration with the Semantic Infrastructure will enable reasoning, semantic query, data mediation (for example, ad hoc data transformation).
  • 1.6.2 - Transform Create represention and views of the information, realized through the appropriate transforms.

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