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Ontology & Metadata Manager
Design ontologies that capture the essence of your business domain and build precise knowledge models that allow humans and machines to understand and process information consistently and meaningfully.
The universal language of your knowledge
Ontology & Metadata Manager is the foundational component for building the conceptual architecture of your semantic AI ecosystem. It implements ontological engineering methodologies that combine user modelling processes with OWL ontology design, creating semantic models tailored specifically to your organisation's workflows and needs.
The approach is grounded in the construction of Knowledge Objects: specialised metamodels that act as bridges between the technical complexity of ontologies and the actual intentions of users. These objects establish the semantic rules and relationships that transform scattered data into coherent, actionable knowledge.
Ontology & Metadata Manager capabilities
Advanced ontology management
The ontology management module combines technical power with usability, enabling both ontological engineers and domain experts to participate collaboratively in semantic modelling.
- Knowledge object design: Create precise metamodels tailored to your specific domain through supervised user modelling processes. The tool is grounded in user experience and optimised to perform in high-performance semantic applications.
- Custom ontologies: Develop semantic models specific to your organisation's particular needs, integrating domain vocabularies, business rules, and operational constraints. The platform allows you to extend industry-standard ontologies, adapting them to your context without losing compatibility with external systems.
- Standards reuse: Leverage established sector ontologies (FOAF, CIDOC-CRM, Schema.org) as a foundation to accelerate implementations and ensure interoperability with external systems.
- Default semantic representation: General-purpose semantics based on standard vocabularies (Dublin Core, FOAF, SKOS, SIOC) for projects that require immediate deployment.
Ontology viewer
Effective visualisation of complex conceptual structures is critical for understanding and validating the model. The viewer combines multiple perspectives that facilitate both technical analysis and validation by domain experts.
- Interactive viewer: Visually explore the relationships between concepts, properties, and constraints defined in your ontology.
- Hierarchical navigation: Understand the inheritance structure and dependencies of your knowledge model.
- Visual validation: Identify logical inconsistencies and optimise ontological coherence through intuitive graphical interfaces that highlight domain/range conflicts, contradictory constraints, or problematic modelling patterns.
Automatic documentation
High-quality technical documentation is essential for the adoption and sustainable maintenance of any semantic model, yet creating it manually consumes disproportionate resources and quickly becomes out of date.
- Dynamic generation: Automatically produce comprehensive technical documentation for your ontology.
- Quality standards: Documentation that follows knowledge engineering best practices to facilitate maintenance, collaboration, and reuse.
Taxonomy and thesaurus management
Terminological control is the foundation of any effective knowledge management system, enabling information to be organised, retrieved, and related consistently across multiple conceptual dimensions.
- Multidimensional organisation: Structure knowledge according to multiple criteria simultaneously using the SKOS standard within your ontological model.
- Intuitive interfaces: Manage taxonomies without specialist technical knowledge.
- Thesaurus import: Protect prior investments through APIs that facilitate migration from existing systems.
- Semantic relationships: Establish hierarchical and associative connections that enrich the user experience through equivalence relationships (preferred and alternative terms), hierarchy (broader-narrower), association (related terms), and mappings to external vocabularies. These connections feed advanced functionalities such as automatic query expansion, contextual recommendations, and faceted navigation, amongst others.
Where ontological engineering meets business agility
Business value
Semantic precision
Define exactly how every concept should be interpreted within your organisation, eliminating ambiguity and miscommunication.
Guaranteed interoperability
Use W3C standards to ensure compatibility with external systems and seamless integration with future technologies.
Accelerated onboarding
Predefined semantics let you hit the ground running, with the flexibility to evolve towards more specific models as your needs grow.
Technical and business collaboration
Interfaces that enable domain experts to take an active role in ontological design, removing technical barriers.