XSD2SHACL: Capturing RDF Constraints from XML Schema
Pages 214 - 222
Abstract
SHACL shapes describe the constraints of RDF subgraphs which are constructed from heterogeneous data, such as RDBs, JSONs, XMLs, etc. These heterogeneous data often already have constraints defined in their schemas, e.g., JSON Schema for JSON or XSD for XML, but this information is ignored when the RDF graph is constructed, as there are currently not many works that translate such schemas into SHACL. In this paper, we focus on the incorporation of XSD constraints for XML data sources in SHACL shapes. We define a translation from XSD to SHACL, and provide a corresponding system. We compare our solution with XMLSchema2ShEx which translates XSD constraints to ShEx and validate our solution against two use cases. Our solution provides the desired SHACL shapes in a reasonable time. This allows us to automatically derive SHACL shapes for some original raw data without any manual effort.
References
[1]
Marcelo Arenas, Alexandre Bertails, Eric Prud’hommeaux, and Juan Sequeda. 2012. A Direct Mapping of Relational Data to RDF. Recommendation. World Wide Web Consortium (W3C). http://www.w3.org/TR/rdb-direct-mapping/
[2]
Andrea Cimmino, Alba Fernández-Izquierdo, and Raúl García-Castro. 2020. Astrea: Automatic Generation of SHACL Shapes from Ontologies. In European Semantic Web Conference (ESWC). Springer, 497–513. https://doi.org/10.1007/978-3-030-49461-2_29
[3]
Souripriya Das, Seema Sundara, and Richard Cyganiak. 2012. R2RML: RDB to RDF Mapping Language. Recommendation. W3C. http://www.w3.org/TR/r2rml/
[4]
Thomas Delva, Birte De Smedt, Sitt Min Oo, Dylan Van Assche, Sven Lieber, and Anastasia Dimou. 2021. RML2SHACL: RDF Generation Taking Shape. In Proceedings of the 11th on Knowledge Capture Conference. ACM, New York, NY, USA, 153–160. https://doi.org/10.1145/3460210.3493562
[5]
Anastasia Dimou, Miel Vander Sande, Pieter Colpaert, Ruben Verborgh, Erik Mannens, and Rik Van de Walle. 2014. RML: A Generic Language for Integrated RDF Mappings of Heterogeneous Data. In Proceedings of the 7th Workshop on Linked Data on the Web, Vol. 1184. CEUR Workshop Proceedings. http://ceur-ws.org/Vol-1184/ldow2014_paper_01.pdf
[6]
David Fallside and Priscilla Walmsley. 2004. XML Schema Part 0: Primer Second Edition. Recommendation. W3C. https://www.w3.org/TR/xmlschema-0/
[7]
Rémi Felin, Catherine Faron, and Andrea G. B. Tettamanzi. 2023. A Framework to Include and Exploit Probabilistic Information in SHACL Validation Reports. In The Semantic Web, Vol. 13870. Springer, 91–104. https://doi.org/10.1007/978-3-031-33455-9_6
[8]
Daniel Fernández-Álvarez, H. García-González, Johannes Frey, S. Hellmann, and Jose Emilio Labra Gayo. 2018. Inference of Latent Shape Expressions Associated to DBpedia Ontology. In Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Vol. 2195. CEUR Workshop Proceedings, 52–66. https://ceur-ws.org/Vol-2195/research_paper_2.pdf
[9]
Daniel Fernandez-Álvarez, Jose Emilio Labra-Gayo, and Daniel Gayo-Avello. 2022. Automatic extraction of shapes using sheXer. Knowledge-Based Systems 238, C (Feb. 2022), 107975. https://doi.org/10.1016/j.knosys.2021.107975
[10]
Herminio Garcia-Gonzalez and Jose Emilio Labra-Gayo. 2020. XMLSchema2ShEx: Converting XML validation to RDF validation. Semantic Web 11, 2 (2020), 235–253. https://doi.org/10.3233/SW-180329
[11]
Dave Lewis Harshvardhan J. Pandit, Declan O’Sullivan. 2018. Using Ontology Design Patterns to Define SHACL Shapes. In 9th Workshop on Ontology Design and Patterns (WOP2018), Vol. 2195. CEUR Workshop Proceedings, Monterey California, USA, 67–71.
[12]
ISO/IEC 9075-1:2023 2023. Information technology — Database languages SQL — Part 1: Framework (SQL/Framework). Standard. International Organization for Standardization. https://www.iso.org/standard/76583.html
[13]
Holger Knublauch and Dimitris Kontokostas. 2017. Shapes Constraint Language (SHACL). Recommendation. W3C. https://www.w3.org/TR/shacl/
[14]
Jose Emilio Labra Gayo, Herminio Garciía González, Daniel Fernández Álvarez, and Eric Prud’hommeaux. 2019. Challenges in RDF Validation. Studies in Computational Intelligence, Vol. 815. Springer International Ablex Publishing Co, Chapter 6, 121–151. https://doi.org/10.1007/978-3-030-06149-4_6
[15]
Nandana Mihindukulasooriya, Mohammad Rifat Ahmmad Rashid, Giuseppe Rizzo, Raul Garcia-Castro, Oscar Corcho, and Marco Torchiano. 2018. RDF Shape Induction using Knowledge Base Profiling. In Proceedings of the 33rd ACM/SIGAPP Symposium On Applied Computing(SAC ’18). 1952–1959. https://doi.org/10.1145/3167132.3167341
[16]
Kashif Rabbani, Matteo Lissandrini, and Katja Hose. 2023. Extraction of Validating Shapes from Very Large Knowledge Graphs. Proceedings of the VLDB Endowment 16, 5 (2023), 1023–1032. https://doi.org/10.14778/3579075.3579078
[17]
Edna Ruckhaus, Oscar Corcho, Julián Rojas, Dylan van Assche, Ivo Velitchkov, Pieter Colpaert, and Wouter Beek. 2023. ERA Vocabulary. https://doi.org/10.5281/zenodo.7775344
[18]
Blerina Spahiu, A. Maurino, and M. Palmonari. 2018. Towards Improving the Quality of Knowledge Graphs with Data-driven Ontology Patterns and SHACL. In Workshop on Ontology Design Patterns (WOP) at ISWC (Best Workshop Papers), Vol. 2195. CEUR Workshop Proceedings, 67–71.
[19]
Ratan Bahadur Thapa and Martin Giese. 2021. A Source-to-Target Constraint Rewriting for Direct Mapping. In The Semantic Web – ISWC 2021. Springer, 21–38. https://doi.org/10.1007/978-3-030-88361-4_2
[20]
Ratan Bahadur Thapa and Martin Giese. 2022. Mapping Relational Database Constraints to SHACL. In The Semantic Web – ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23–27, 2022, Proceedings. Springer, 214–230. https://doi.org/10.1007/978-3-031-19433-7_13
[21]
Dylan Van Assche, Thomas Delva, Gerald Haesendonck, Pieter Heyvaert, Ben De Meester, and Anastasia Dimou. 2023. Declarative RDF graph generation from heterogeneous (semi-)structured data: A systematic literature review. Journal of Web Semantics 75 (2023), 100753. https://doi.org/10.1016/j.websem.2022.100753
[22]
Priscilla Walmsley. 2012. Definitive XML Schema, 2nd Edition. Pearson Education.
[23]
Austin Wright, Henry Andrews, Ben Hutton, and Greg Dennis. 2022. JSON Schema: A Media Type for Describing JSON Documents. Internet-Draft draft-bhutton-json-schema-01. IETF Secretariat.
Index Terms
- XSD2SHACL: Capturing RDF Constraints from XML Schema
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Published: 05 December 2023
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