Developed with contributions from over 30 semantic engineers and architects
Reimagining the Mapping of Complex XML Data
It’s never been easier for large organisations to achieve seamless interoperability across varied data sources and systems.
Mapping Workbench simplifies data mapping by accurately converting XML to RDF, enabling seamless transitions to semantic web technologies.
Old Way
Custom transformation scripts
Complex, dated or absent user interfaces
High potential for errors due to complex workflows
Requires extensive technical knowledge
Separate tools for data integration and transformation
Communication with stakeholders all over the place
Limited collaboration features with no role-based access
High development and maintenance cost
Standards-based mapping language
Simplified, modern user-friendly interface
Accurate and reliable mappings due to Test-Driven Development
Accessible for all stakeholders
Unified platform for data integration, transformation and testing
Centralised communication per mapping rule for business and technical stakeholders
Collaborative workspaces with role-based access control
Cost-effective and scalable solution
Seamless Data Conversion
Transform XML data to RDF automatically
Ensure precise data mapping with minimal manual intervention
Collaborative Environment
Share mappings and project history across your team
Role-based access control ensures the right people have the right access
Automate repetitive tasks, and focus on more complex mapping activities
Streamline data mapping projects with automated updates and alerts
Trusted by
(Title H3) Connect with us step-by-step
Give unstructured data meaning, from plan to implementation
(Title H4) Step 1
(Tiltle H4) Discovery
We discover your business goals and product vision, assess essential features, and map out the project timeline
(Title H4) Step 1
(Title H4) Discovery
We discover your business goals and product vision, assess essential features, and map out the project timeline
(Title H4) Step 1
(Title H4) Discovery
We discover your business goals and product vision, assess essential features, and map out the project timeline
(Title H4) Step 1
(Title H4) Discovery
We discover your business goals and product vision, assess essential features, and map out the project timeline
What is Mapping Workbench?
Mapping Workbench is a collaborative platform to design, implement and validate mapping rules. It aims to maximise the mapping developer productivity and ensuring high-quality mappings by organising all the relevant resources in one environment and facilitating executing the relevant tasks and activities at every step of the development lifecycle from inception to deployment
Who can use Mapping Workbench?
It is ideal for semantic engineers and IT professionals who are tasked with implementing semantic interoperability or knowledge graph creation within large organisations, such as EU institutions, that require seamless integration of diverse data silos
How does Mapping Workbench handle evolving XML schemas?
Mapping Workbench implements a two-layer approach to manage mapping rules: the conceptual and the technical (with RML). Once the conceptual mapping is established, one or multiple XPath variations can be associated with the same source field. Then the multiple RML implementations can realise the same conceptual mapping
What makes Mapping Workbench different from other data mapping tools?
Mapping Workbench is a collaborative environment that focuses on following a robust methodology and mapping management approach. It is especially effective for handling complex mapping projects. Moreover, it offers robust quality control mechanisms and ensures mappings are both technically sound and business-relevant
How does Mapping Workbench ensure the accuracy of data mappings?
Mapping Workbench is based on a test-driven approach. It includes advanced validation features based on SPARQL queries and XPath coverage measurement that cross-verify the technical implementation of mappings with business-level understanding and requirements. This dual-validation approach ensures high accuracy and relevance
In addition, the SHACL validation capability ensures that the mappings rules produce output compliant with semantic data standards
Is training required to use Mapping Workbench effectively?
While Mapping Workbench is user-friendly, initial training is recommended to help users maximize its capabilities. Training sessions typically cover the basic concepts, the mapping methodology, how to set up and manage mapping projects, and how to use the tool’s advanced features effectively
What support options are available for Mapping Workbench users?
Users of Mapping Workbench can access a range of support options including an online knowledge base, direct customer support via email or phone, and a community forum where users can share insights and solutions