PySPARQL Anything Showcase

Ratta, Marco; Daga, Enrico and Asprino, Luigi (2025). PySPARQL Anything Showcase. In: Meroño Peñuela, Albert; Simperl, Elena; Corcho, Oscar; Poveda-Villalón, Maria; Groth, Paul; Tamma, Valentina; Giovanni Nuzzolese, Andrea; Sabou, Marta; Presutti, Valentina; Celino, Irene; Rovenko, Artem; Raad, Joe; Sartini, Bruno and Lisena, Pasquale eds. The Semantic Web: ESWC 2024 Satellite Events. ESWC 2024. Lecture Notes in Computer Science, 15344. Springer, pp. 301–305.

DOI: https://doi.org/10.1007/978-3-031-78952-6_46

Abstract

In this demo paper we present PySPARQL Anything, the Python library of SPARQL Anything, an open source project for supporting semantic web technologists in building RDF graphs from heterogeneous sources. PySPARQL Anything enables developers to inject RDF graphs into their Python RDFlib, NetworkX or pandas-powered data science processes, opening new opportunities for developing complex, data-intensive pipelines for generating and manipulating RDF data. In addition, the library exposes a Python-based Command Line Interface (CLI) allowing easier installation and use.

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