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SPARQL-based systems are a category of software and tools designed to query and manipulate data stored in Resource Description Framework (RDF) format. RDF is a standard model for data interchange on the web, using a graph-based approach to represent information. SPARQL, which stands for SPARQL Protocol and RDF Query Language, is a powerful query language for RDF data. It allows users to retrieve and manipulate data stored in RDF format.

SPARQL-based systems typically include a SPARQL query engine, which processes SPARQL queries against an RDF dataset. These systems can be used in various applications, such as semantic web applications, data integration, and knowledge graph management. They provide a flexible and expressive way to query and manipulate RDF data, supporting complex queries and data transformations.

Some popular SPARQL-based systems include Apache Jena, which is a Java framework for building semantic web and linked data applications, and Virtuoso, a multi-model database that supports RDF and SPARQL. These systems often include additional features such as data storage, indexing, and reasoning capabilities to enhance the performance and functionality of SPARQL queries.

In summary, SPARQL-based systems are essential tools for working with RDF data, providing a standardized and powerful way to query and manipulate semantic web data. They are widely used in various domains, including data integration, knowledge management, and semantic web applications.