Semantic MDR EE

intelligent metadata management through latest semantic web technologies

Semantic MDR EE is a web-based metadata management and data modelling tool to create and maintain common data models collaboratively either based on imported standard content models or from scratch.

Through its spreadsheet based user-friendly interfaces, it hides the implementation specific details and allows the modelers to focus on the data models to be managed.

Semantic MDR is a full implementation of the ISO/IEC 11179 (2nd edition) meta-model. There are two versions of the Semantic MDR. The Open Source Edition is maintained within GitHub while the Enterprise Edition is a commercial product.

The implementation of the Semantic MDR has started with the SALUS Project and the Open Source Edition was created. The research behind the C2-SENSE Project has led to the development of the Enterprise Edition of the Semantic MDR.

Semantic MDR EE's collaboration environment provides an auditable governance and user management platform where the content developers can submit their data models to experienced content administrators for approval. Meanwhile data ownership and versioning is also ensured.

Semantic MDR EE allows users to query and browse the data model repository, and create their data models based on existing data models and hence increase the reusability as well as reducing the data model redundancy.

Take a look at what Semantic MDR EE provides:

The main objective of Semantic MDR EE is to facilitate data interoperability between disparate applications.

  • Generation and maintenance of data models collaboratively through a role-based process.
  • Increasing the reuse of data models by allowing users to query and browse the data model repository through user friendly views.
  • Implement/Customize existing standard content models according to requirements.
  • Maintain code lists and associate them to data model elements (common data elements).

At the implementation level, Semantic MDR EE provides importers to obtain the data models of the existing standards and customize them according to the needs and furthermore, it provides exporters to generate implementation specific artifacts to guide implementers and give an initial starting point.

Collaboration environment of Semantic MDR EE provides an enhanced notification mechanism, where the interested parties are notified in case of a data model event (such as create, update, submit or change).

Based on ISO/IEC 11179 Metadata Registry (MDR) standard, Semantic MDR EE’s data modeling infrastructure enables to users to generate strongly-typed information models in terms of objects, object properties and object-to-object associations. These generated data models are presented to users through a browser-based spreadsheet user interface organized in a format aligned with their user role.

Furthermore, the role-based governance process proposed by UN/CEFACT’s Core Component Technical Specification (CCTS) is fully implemented in Semantic MDR EE. It gives content administrators full control over object approval processes supporting any combination of parallel and sequential submissions by content developers. Accompanying this highly flexible data modeling infrastructure, by fully complying with OASIS Genericode specification, Semantic MDR EE provides a terminology server, where the users are able to maintain their code lists (and mappings among them) and associate them to the coded elements in their data models.

Who uses Semantic MDR EE?

Enterprises to maintain their data models as organizational assets to facilitate data interoperability, and implement standards faster and more efficiently.

Standard Development Organizations (SDOs) to create and maintain their specifications.

Organizations (either public or private) who manages/conducts interoperability projects to customize the standards according to their needs.

Capabilities of Semantic MDR EE: