Transform XML Data into Harmonised RDF using Precise Mapping
Collaborative platform used by semantic engineers to efficiently
map XML data to OWL ontologies
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
Mapping Workbench Way
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
Are you looking for a faster way to map XML data toOWL ontologies?
Semantic engineers use Mapping Workbench to precisely map XML schemas to target ontologies and achieve seamless semantic interoperability
Data Mapping Excellence for Semantic Engineers
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
Efficient Workflows
Automate repetitive tasks, and focus on more complex mapping activities
Streamline data mapping projects with automated updates and alerts
Harmonise Your Data
Precision Mapping Tools
Implement advanced tools that ensure correct mapping rules and terms, enhancing data integrity and usability.
Harmonised Schema Management System
Use holistic schema management to align evolving source schemas with ontologies, ensuring consistent transformation.
Automated Mapping Evaluation
Deploy automation in mapping evaluation and maintenance to accelerate processes and reduce response times.
Unified Conceptual and Technical Mapping Rules
Integrate a framework that bridges the conceptual and technical mapping rules, streamlining validation and enhancing accuracy.
Trusted by
Benefits of using Mapping Workbench:
Guarantees quality by measuring mapping validity, accuracy, and coverage
Significantly speeds up data mapping and reduce maintenance cost
Identifies conceptual mapping issues early by involving domain experts
Handle the mapping complexity of large schemas, contextual mappings, and evolving schema versions
Collaborative mapping environment for semantic engineers and domain experts
Prepares data for advanced ML and AI applications, unlocking new use cases
Connect with us
step-by-step
Begin your journey to better data integration by connecting with our team to discuss your specific needs and how Mapping Workbench can address them.
Each integration scenario is unique, and we tailor Mapping Workbench to seamlessly fit into your existing data management framework.
Step 1
Setup and Configuration
Set up the Mapping Workbench and configure it to interact with your existing data systems. This includes setting up connections to your source schemas and target ontologies.
Step 2
Mapping Creation and Validation
Use the Mapping Workbench to develop and validate mappings between your source schemas and target ontologies. The tool provides a visual interface and guided processes to help you map fields accurately.
Step 3
Deploy in Transformation Pipelines
Once validated, implement the mappings in a data transformation environment. The Mapping Workbench supports the deployment process to ensure mappings are correctly applied to ongoing data operations.
Step 4
Ongoing Support and Updates
Benefit from ongoing support and regular updates from our team to ensure that your Mapping Workbench continues to meet your evolving data integration needs.
Are you looking for a faster way to map XML data toOWL ontologies?
Start using Mapping Workbench and harmonise your data today!
FAQ
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.
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.
The 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.
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.
The tool 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.
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.
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.