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Human-Friendly RDF Graph Construction: Which One Do You Chose?

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Web Engineering (ICWE 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13893))

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Abstract

Knowledge Graphs (KGs) are a powerful mechanism to structure and organize data on the Web. RDF KGs are usually constructed by declaring a set of mapping rules, specified according to the grammar of a mapping language (e.g., RML), that relates the input data sources to a domain vocabulary. However, the verbosity and (manual) definition of these rules affect their global adoption. Several user-friendly serializations for different mapping languages were proposed to facilitate users with the definition of such rules, e.g., YARRRML, SMS2, XRM, or ShExML. Still, most of them do not cover all features of the mapping languages for RDF graph construction (e.g., constructing RDF-star), or they lack tooling support. In this paper, (i) we present a set of updates over the YARRRML serialisation to empower it with the latest necessities for constructing RDF graphs; (ii) we implement these new features in a new open-source translator, Yatter, currently used in different real-use cases and international projects; and (iii) we qualitatively compare our proposal against similar state-of-the-art serialisations, and their associated translators over a set of conformance test cases. Our proposal advances the declarative construction of RDF graphs and supports users in choosing an appropriate serialisation and translator for their use cases.

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Notes

  1. 1.

    https://www.stardog.com/.

  2. 2.

    https://oeg-dataintegration.github.io/yarrrml-spec/.

  3. 3.

    https://github.com/oeg-upm/yatter/.

  4. 4.

    https://github.com/oeg-upm/yarrrml-validation.

  5. 5.

    https://yaml.org/.

  6. 6.

    https://cloud.google.com/enterprise-knowledge-graph/docs/entity-reconciliation-console.

  7. 7.

    https://github.com/herminiogg/ShExML.

  8. 8.

    https://zazuko.com.

  9. 9.

    https://github.com/carml/carml.

  10. 10.

    https://www.w3.org/ns/csvw.

  11. 11.

    https://rml.io/yarrrml/spec/.

  12. 12.

    https://rml.io/yarrrml/spec/#functions.

  13. 13.

    https://github.com/kg-construct/yarrrml-spec/pull/4.

  14. 14.

    http://xmlns.com/foaf/0.1/.

  15. 15.

    http://semweb.mmlab.be/ns/rml#.

  16. 16.

    http://www.w3.org/1999/02/22-rdf-syntax-ns#.

  17. 17.

    https://www.w3.org/TR/turtle/#unlabeled-bnodes.

  18. 18.

    https://doi.org/10.5281/zenodo.7024500.

  19. 19.

    https://pypi.org/project/yatter/.

  20. 20.

    https://github.com/oeg-upm/yarrrml-validation.

  21. 21.

    https://github.com/RMLio/yarrrml-parser.

  22. 22.

    https://github.com/oeg-upm/yatter/.

  23. 23.

    https://w3id.org/kg-construct/rml-fnml.

  24. 24.

    https://europa.eu/!qx9WxQ.

  25. 25.

    https://docs.ted.europa.eu/EPO/latest/.

  26. 26.

    https://github.com/oeg-upm/yatter/tree/main/test/projects/PPDSTC.

  27. 27.

    https://w3id.org/kg-construct/rml-collections-containers.

References

  1. Arenas-Guerrero, J., Iglesias-Molina, A., Chaves-Fraga, D., Garijo, D., Corcho, O., Dimou, A.: Morph-KGC\(^{star}\): declarative generation of RDF-star graphs from heterogeneous data. Semant. Web (Under Review) (2023)

    Google Scholar 

  2. Chatterjee, A., Nardi, C., Oberije, C., Lambin, P.: Knowledge graphs for COVID-19: an exploratory review of the current landscape. J. Pers. Med. 11(4), 300 (2021)

    Article  Google Scholar 

  3. Chaves, D., Iglesias, A., Garijo, D., Guerrero, J.A.: kg-construct/rml-star-test-cases: v1.1 (2022). https://doi.org/10.5281/zenodo.6518802

  4. Chaves-Fraga, D., Corcho, O., Yedro, F., Moreno, R., Olías, J., De La Azuela, A.: Systematic construction of knowledge graphs for research-performing organizations. Information 13(12), 562 (2022)

    Article  Google Scholar 

  5. Chaves-Fraga, D., Gonzalez, M., Doña, D.: oeg-upm/yatter (2023). https://doi.org/10.5281/zenodo.7643310

  6. Chaves-Fraga, D., Priyatna, F., Cimmino, A., Toledo, J., Ruckhaus, E., Corcho, O.: GTFS-Madrid-Bench: a benchmark for virtual knowledge graph access in the transport domain. J. Web Semant. 65, 100596 (2020)

    Google Scholar 

  7. Corcho, O., et al.: A high-level ontology network for ICT infrastructures. In: Hotho, A., et al. (eds.) ISWC 2021. LNCS, vol. 12922, pp. 446–462. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-88361-4_26

    Chapter  Google Scholar 

  8. Das, S., Sundara, S., Cyganiak, R.: R2RML: RDB to RDF mapping language. W3C recommendation, world wide web consortium (W3C) (2012). http://www.w3.org/TR/r2rml/

  9. Delva, T., Arenas-Guerrero, J., Iglesias-Molina, A., Corcho, O., Chaves-Fraga, D., Dimou, A.: RML-star: a declarative mapping language for RDF-star generation. In: International Semantic Web Conference, ISWC, P &D, vol. 2980. CEUR Workshop Proceedings (2021). http://ceur-ws.org/Vol-2980/paper374.pdf

  10. Dimou, A., Vander Sande, M., Colpaert, P., Verborgh, R., Mannens, E., Van de Walle, R.: 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 (2014). http://ceur-ws.org/Vol-1184/ldow2014_paper_01.pdf

  11. García-González, H., Boneva, I., Staworko, S., Labra-Gayo, J.E., Cueva-Lovelle, J.M.: ShExML: improving the usability of heterogeneous data mapping languages for first-time users. PeerJ Comput. Sci. 6, e318 (2020). https://doi.org/10.7717/peerj-cs.318

    Article  Google Scholar 

  12. Heyvaert, P.: Conformance test cases for the RDF mapping language (RML). In: Villazón-Terrazas, B., Hidalgo-Delgado, Y. (eds.) KGSWC 2019. CCIS, vol. 1029, pp. 162–173. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-21395-4_12

    Chapter  Google Scholar 

  13. Heyvaert, P., De Meester, B., Dimou, A., Verborgh, R.: Declarative rules for linked data generation at your fingertips! In: Gangemi, A., et al. (eds.) ESWC 2018. LNCS, vol. 11155, pp. 213–217. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98192-5_40

    Chapter  Google Scholar 

  14. Iglesias-Molina, A., Arenas-Guerrero, J., Delva, T., Dimou, A., Chaves-Fraga, D.: RML-star. W3C draft community group report (2022). https://kg-construct.github.io/rml-star-spec/

  15. Prud’hommeaux, E., Labra Gayo, J., Solbrig, H.: Shape expressions: an RDF validation and transformation language. In: Proceedings of the 10th International Conference on Semantic Systems (2014)

    Google Scholar 

  16. Rojas, J.A., et al.: Leveraging semantic technologies for digital interoperability in the European railway domain. In: Hotho, A., et al. (eds.) ISWC 2021. LNCS, vol. 12922, pp. 648–664. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-88361-4_38

    Chapter  Google Scholar 

  17. Stardog: Sms2 (stardog mapping syntax 2) (2022). https://docs.stardog.com/virtual-graphs/mapping-data-sources

  18. Van Assche, D., Delva, T., Haesendonck, G., Heyvaert, P., De Meester, B., Dimou, A.: Declarative RDF graph generation from heterogeneous (semi-) structured data: asystematic literature review. J. Web Semant. 100753 (2022)

    Google Scholar 

  19. Van Assche, D., Delva, T., Heyvaert, P., De Meester, B., Dimou, A.: Towards a more human-friendly knowledge graph generation & publication. In: ISWC2021, The International Semantic Web Conference, vol. 2980. CEUR (2021)

    Google Scholar 

  20. Villazón-Terrazas, B., Hausenblas, M.: R2RML and direct mapping test cases. W3C Note, W3C (2012). http://www.w3.org/TR/rdb2rdf-test-cases/

  21. Zazuko: Expressive RDF mapper (XRM) (2022). https://zazuko.com/products/expressive-rdf-mapper/

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Acknowledgement

The work presented in this paper is partially funded by Knowledge Spaces project (Grant PID2020-118274RB-I00 funded by MCIN/AEI/ 10.13039/501100011033) and partially supported by Flanders Make, the strategic research centre for the manufacturing industry. David Chaves-Fraga is supported by the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with Universidad Politécnica de Madrid in the line Support for R &D projects for Beatriz Galindo researchers, in the context of the V PRICIT (Regional Programme of Research and Technological Innovation).

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Authors and Affiliations

  1. Ontology Engineering Group, Universidad Politécnica de Madrid, Madrid, Spain

    Ana Iglesias-Molina & David Chaves-Fraga

  2. KULeuven – Flanders Make@KULeuven – Leuven.AI, Leuven, Belgium

    David Chaves-Fraga, Ioannis Dasoulas & Anastasia Dimou

Authors
  1. Ana Iglesias-Molina
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  2. David Chaves-Fraga
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  3. Ioannis Dasoulas
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  4. Anastasia Dimou
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Correspondence to Ana Iglesias-Molina .

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Editors and Affiliations

  1. University of Alicante, Alicante, Spain

    Irene Garrigós

  2. University of Extremadura, Cáceres, Spain

    Juan Manuel Murillo Rodríguez

  3. Johannes Kepler University Linz, Linz, Austria

    Manuel Wimmer

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Iglesias-Molina, A., Chaves-Fraga, D., Dasoulas, I., Dimou, A. (2023). Human-Friendly RDF Graph Construction: Which One Do You Chose?. In: Garrigós, I., Murillo Rodríguez, J.M., Wimmer, M. (eds) Web Engineering. ICWE 2023. Lecture Notes in Computer Science, vol 13893. Springer, Cham. https://doi.org/10.1007/978-3-031-34444-2_19

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  • DOI: https://doi.org/10.1007/978-3-031-34444-2_19

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