Description

EasyGraph Connector is a sophisticated software tool designed to streamline the management of ontologies, class hierarchies, and data resources within graph-based and RDF triple-store environments. This versatile platform provides robust capabilities for API configuration, authentication, authorization, schema building, and user management, supporting both HTTP and GraphQL interfaces.

Key Features

Ontology and Schema Management

EasyGraph Connector offers comprehensive tools for creating and managing data schemas. Users can visualize class hierarchies, manage properties, and set constraints with ease. The platform supports schema import/export and provides ontology export in JSON-LD format, along with automatic SHACL shape generation from OWL ontologies.

API Configuration

The software enables detailed API configuration, supporting CRUD operations and content negotiation across multiple formats. It offers introspection capabilities for GraphQL schemas and tracks API activities, ensuring seamless integration and management of data resources.

Security and Access Control

With options for JWT token authentication and role-based access control, EasyGraph Connector ensures secure data handling. It provides granular authorization controls based on operations, data classes, and endpoints, along with comprehensive user management features.

Integration and Deployment

EasyGraph Connector is compatible with various triplestore backends such as Apache Jena Fuseki, RDF4J, Stardog, MarkLogic, GraphDB, and AWS Neptune. It supports both local and cloud deployments, offering advanced URI dereferencing and customizable URL templates for enhanced interoperability.

Developer Tools

The platform includes a Playground feature for API exploration, form-based builders for request construction, and tools for organizing development tasks. Developers can generate mock data, configure search parameters, and manage workspaces effectively.

System Requirements

Requiring Java 21, EasyGraph Connector recommends a 1GB heap space for optimal performance. It includes easygraph.jar and setup scripts for Windows and OSX/Linux, supporting deployment across multiple availability zones with features like load balancing and autoscaling.

Use Cases

Typical use cases include managing ontologies, securing APIs for RDF data, building data schemas, and integrating with external platforms. EasyGraph Connector supports developer workflows in API design, testing, and documentation, while managing user roles and access control in data-driven environments.

Limitations

The software does not support blank nodes and has restrictions on multiple resource types due to GraphQL schema limitations. Despite these, its comprehensive feature set makes it a valuable asset for organizations handling complex data management tasks.