ISWC 2026 · Half-Day Tutorial

Façade-X: Querying Any Format as a Knowledge Graph

Integrate CSV, JSON, XML, spreadsheets and more using SPARQL alone.

📍 Bari, Italy 📅 ISWC 2026 · 25th October 2026 ⏱️ Half day · 14:10–18:00 🎯 Intermediate
SPARQL Knowledge Graphs Data Integration Linked Data Hands-on

Overview

A growing community of researchers, practitioners, and tool builders has coalesced around Façade-X, a design philosophy and metamodel for querying heterogeneous data formats — CSV, JSON, XML, spreadsheets, and more — as knowledge graphs, using SPARQL as the sole integration language.

This tutorial brings that community to ISWC, disseminating the methods, technologies, and philosophy behind the approach. SPARQL Anything, the reference open-source implementation, serves as the primary teaching tool, while the tutorial also showcases independent implementations emerging in commercial platforms, reflecting the maturity of the approach. The W3C Data Façades Community Group, active since late 2025, provides the standardisation backdrop.

Why Façade-X?

Integrating heterogeneous data formats remains one of the most persistent practical obstacles in knowledge graph construction. Conventional approaches rely on dedicated mapping languages and separate toolchains, adding complexity that often falls to domain experts rather than software engineers. Façade-X takes a different route: by exposing any format as a knowledge graph queryable with SPARQL alone, it removes the need for a second mapping language and keeps the entire workflow within familiar Semantic Web standards.

What you'll learn

The philosophy

Understand the Façade-X design philosophy and its underlying metamodel.

Practical skills

Query heterogeneous data formats — CSV, JSON, XML and more — using SPARQL Anything.

Deployment patterns

Recognise real-world deployment patterns and data-integration strategies from production case studies.

Open research

Engage with the open theoretical questions that define the approach as an active research direction.

Standardisation

Appreciate the aims of the ongoing W3C standardisation effort and how to get involved.

Bring your data

Work through guided exercises on real datasets and bring your own questions to the SPARQL Anything clinic.

Schedule

A half-day afternoon programme (14:10–18:00) built around the hands-on session, with all four themes represented.

TimeSessionPresenter(s)
14:10–14:50Slot 1 · The Problem and the Idea
14:10–14:30Introduction to Façade-XEnrico & Luigi
14:30–14:50Foundations: towards a theory of façade-based data access, with a short interactive modelling exerciseEnrico & Luigi
14:50–16:10Slot 2 · Hands-on with SPARQL AnythingCore
14:50–15:20Live querying of CSV, JSON, and XMLLuigi
15:20–15:45SPARQL Anything functions and magic propertiesEnrico
15:45–16:10Guided exercises with real datasetsEnrico & Luigi
16:10–16:30Break · SPARQL Anything Clinic (bring your own data & questions)All
16:30–18:00Slot 3 · From Practice to Standards
16:30–16:50Façade-X deployment with TriplyDB platform (hands-on)Martin
16:50–17:10Railway infrastructure KGMathias
17:10–17:30The Benefits of Decoupled Graph Construction. Lessons from the Public Procurement Data Space (slides)Ivo
17:30–17:40Pedagogical experience: teaching KG management with SPARQL AnythingRyan
17:40–18:00The W3C Façade-X Community Group: standardisation roadmap, community, and discussionEnrico

The tutorial deliberately avoids a lecture-only format: participants work through guided exercises on real datasets during the hands-on slot, bring their own data and questions to the SPARQL Anything clinic, and take part in an open discussion on community next steps.

Materials

Tutorial materials include slides for all sessions, Jupyter notebooks for the hands-on exercises, and SPARQL Anything documentation with worked examples.

All materials are openly licensed and will be made available here one week before the tutorial date.

Requirements & audience

For participants

Who it's for

The tutorial is application- and tool-focused, pitched at an intermediate level and targeted at knowledge graph engineers, data integration practitioners, Semantic Web researchers, and educators. Attendees are expected to have basic familiarity with SPARQL and at least one non-RDF data format (CSV, JSON, or XML). No prior knowledge of Façade-X or SPARQL Anything is assumed.

Presenters

Luigi Asprino
Università Telematica San Raffaele, Roma (IT)

Associate Professor with 10+ years of AI research, a founding member of SPARQL Anything, and chair of the W3C Data Façades Community Group.

Enrico Daga
Knowledge Media Institute, The Open University (UK)

Senior Research Fellow specialising in KG construction for cultural heritage and smart cities, and a founding member of SPARQL Anything.

Martin van Harmelen
Triply (NL)

Software engineer leading SPARQL engine design and ELT pipeline development on the TriplyDB platform.

Mathias Vanden Auweele
MATDATA (BE)

Independent railway and knowledge graph consultant with 17+ years in railway infrastructure data, ontology design, and SPARQL-based production deployments.

Ryan Shaw
University of North Carolina at Chapel Hill (US)

Associate Professor with 15 years teaching in information science; has taught KG management with SPARQL Anything over multiple semesters.

Ivo Velitchkov
Kvistgaard (DK)

Independent consultant and trainer, PhD in Computer Science, 30+ years of experience and 20 years teaching, the last 8 on semantic technologies.

References

  1. Asprino, L., Daga, E. Towards a theory of façade-X data access: satisfiability of SPARQL basic graph patterns. arXiv preprint arXiv:2602.11756 (2026).
  2. Asprino, L., Daga, E., Gangemi, A., Mulholland, P. Knowledge graph construction with a façade: a unified method to access heterogeneous data sources on the web. ACM Transactions on Internet Technology 23(1), 1–31 (2023).
  3. Asprino, Luigi, Enrico Daga, Justin Dowdy, Paul Mulholland, Aldo Gangemi, and Marco Ratta. "Streamlining knowledge graph construction with a fa\c {c} ade: the sparql anything project. 2nd EuropeaN Data conference On Reference data and SEmantics (ENDORSE) 2023. Virtual event 14-16 March 2023. Proceedings, Publications Office of the European Union (2023).
  4. Asprino, L., Daga, E., Dowdy, J., Gangemi, A., Mulholland, P. Materialisation approaches for Façade-based data access with SPARQL. Semantic Web J. 12 (2022).
  5. Daga, E., Asprino L., Mulholland, P., Gangemi, A. Facade-X: an opinionated approach to SPARQL anything. SEMANTICS Conference. Studies on the Semantic Web 53 (2021): 58-73.