# Streamlining Knowledge Graph Construction with a faccade: The SPARQL Anything project

arXiv: https://arxiv.org/abs/2310.16700 · HTML: https://mlsanity.com/paper/2310.16700/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Oct 2023.

## Built on by (most cited first, 1 of 1)

- [Streamlining Knowledge Graph Creation with PyRML](https://mlsanity.com/paper/2505.20949/) (2025)

## Abstract (arXiv)

What should a data integration framework for knowledge engineers look like? Recent research on Knowledge Graph construction proposes the design of a faccade, a notion borrowed from object-oriented software engineering. This idea is applied to SPARQL Anything, a system that allows querying heterogeneous resources as-if they were in RDF, in plain SPARQL 1.1, by overloading the SERVICE clause. SPARQL Anything supports a wide variety of file formats, from popular ones (CSV, JSON, XML, Spreadsheets) to others that are not supported by alternative solutions (Markdown, YAML, DOCx, Bibtex). Features include querying Web APIs with high flexibility, parametrised queries, and chaining multiple transformations into complex pipelines. In this paper, we describe the design rationale and software architecture of the SPARQL Anything system. We provide references to an extensive set of reusable, real-world scenarios from various application domains. We report on the value-to-users of the founding assumptions of its design, compared to alternative solutions through a community survey and a field report from the industry.