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  • Linked Data Fragmets - With Linked Data Fragments, and specifically the Triple Pattern Fragments interface, we aim to explore what happens when we redistribute the load between clients and servers. We then measure the impact of such interfaces on clients, servers, and caches.
  • Solid - Solid (derived from "social linked data") is a proposed set of conventions and tools for building decentralized social applications based on Linked Data principles. Solid is modular and extensible and it relies as much as possible on existing W3C standards and protocols.
  • Jena - A free and open source Java framework for building Semantic Web and Linked Data applications.
  • rdf4j - Scalable RDF for Java
  • Linked Data Reaktor
  • Relay
  • CubicWeb - oriented design principles.
  • Apache Stanbol - Apache Stanbol's intended use is to extend traditional content management systems with semantic services.
  • UnifiedView - ETL for RDF
  • LinkedPipes ETL - ETL for RDF
  • ETL in OpenSEmanticSearch - Open Semantic ETL toolkit for data integration, data analysis, document analysis, information extraction & data enrichment
  • KNIME - KNIME supports Semantic Web technologies
  • Silk - Alignment and transformation framework
  • Open Semantic Search
  • RDF Unit - RDFUnit is a test driven data-debugging framework that can run automatically generated (based on a schema) and manually generated test cases against an endpoint. All test cases are executed as SPARQL queries using a pattern-based transformation approach.
  • HyperGraphQL - HyperGraphQL is a GraphQL interface for querying and serving linked data on the Web. It is designed to support federated querying and exposing data from multiple linked data services using GraphQL query language and schemas.
  • rdflib - RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
  • LDIF – Linked Data Integration Framework - LDIF translates heterogeneous Linked Data from the Web into a clean, local target representation while keeping track of data provenance.