Coreon Multilingual Knowledge Graph is a SaaS platform that enables organizations to visually create, manage, and curate semantic structures such as taxonomies, thesauri, classifications, nomenclatures, and ontologies. Its concept-oriented approach inherently supports multilingual views, allowing users to maintain a single knowledge graph that covers all languages. The system is designed for both subject matter experts and ad-hoc users, providing a user-friendly, browser-based interface for collaborative data curation and terminology management.

Key Features

Visual Knowledge Graph Management

• Intuitive drag-and-drop interface for building and editing concept maps.
• Visual navigation through broader/narrower and associative relationships.

Multilingual Support

• Manage one knowledge graph for all languages.
• Store unlimited terms and descriptive information per concept in multiple languages.

Advanced Semantic Modeling

• Supports various semantic structures: taxonomies, thesauri, ontologies, nomenclatures.
• Distinguish between different broader relations (e.g., generic, part-of, instance-of).

Multiple Inheritance and Aliases

• Nodes can have multiple parent nodes, reflecting complex semantic facts.
• Concepts can be reused in different sections of the graph.

Browser-Based Collaboration

• Accessible via browser with role-based interface customization.
• Supports both internal and external contributors.

Interoperability and Integration

• REST API and SPARQL access for integration with other systems.
• Supports established data formats: SKOS, TBX, RDF, JSON-LD.

Data Transparency and Validation

• Tracks all record changes for transparency.
• Validates data against custom constraints and rules.

Benefits

Unified Multilingual Knowledge Management

• Eliminates the need for separate databases and term lists for each language.
• Ensures consistency and control across global terminology and knowledge assets.

Enhanced Usability and Accessibility

• User-friendly visual environment lowers the barrier for adoption by domain experts and occasional users.
• Breadcrumbs, grouping, and orientation toggles simplify navigation and management of large knowledge graphs.

Accelerated Knowledge Structuring

• Auto-taxonomization features significantly reduce the time to build and organize knowledge graphs.
• Efficiently merges and curates existing terminologies and taxonomies.

Improved Interoperability

• Acts as a semantic bridge between systems, organizations, and cultures.
• Facilitates cross-language search, classification, and AI applications.