Logo
Sign in

Apache Clerezza is a set of Java libraries for managing semantically linked data using RDF triples. It provides a technology-agnostic layer to access and modify triple stores, supports multiple named graphs, and includes services for parsing, serializing, and interacting with RDF data.

Vendor

Vendor

The Apache Software Foundation

Company Website

Company Website

image001.png
image019.png
Product details

Apache Clerezza

Apache Clerezza is a set of Java libraries designed for the management of semantically linked data. It operates on the principles of the W3C RDF (Resource Description Framework) specification and provides a technology-agnostic layer for accessing and modifying triple stores. The system is database-independent and supports various RDF graph providers such as Jena and Sesame. Clerezza enables developers to work with RDF graphs through a unified API and offers services for parsing and serializing RDF data in multiple formats.

Features

  • Java-based implementation of the W3C RDF graph data model
  • Technology-agnostic access to RDF triple stores
  • Support for multiple named graphs
  • Integration with various RDF providers (e.g., Jena, Sesame)
  • Graph serialization and parsing services
  • SPARQL query support
  • Adaptors for using different RDF APIs
  • Content management via the Platform Content Module
  • Discobits Editor for structured and rich text content editing
  • HTTP-based graph upload and management

Capabilities

  • Manage semantically linked data across diverse platforms
  • Upload and edit structured and binary content
  • Access RDF graphs via HTTP using JAX-RS
  • Backup and restore triple collections
  • Create and manipulate RDF graphs programmatically
  • Use RDF/XML, Turtle, and other formats for data interchange
  • Integrate with external semantic frameworks like Apache UIMA

Benefits

  • Facilitates semantic web development with standardized RDF support
  • Flexible architecture allows integration with various RDF technologies
  • Simplifies RDF graph management through unified APIs
  • Improves data interoperability and reuse
  • Supports rich content editing and structured data handling
  • Enables scalable and modular semantic applications via OSGi