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Modeling, Generating, and Publishing Knowledge as Linked Data

  • Anastasia Dimou
  • Pieter Heyvaert
  • Ruben Taelman
  • Ruben Verborgh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10180)

Abstract

The process of extracting, structuring, and organizing knowledge from one or multiple data sources and preparing it for the Semantic Web requires a dedicated class of systems. They enable processing large and originally heterogeneous data sources and capturing new knowledge. Offering existing data as Linked Data increases its shareability, extensibility, and reusability. However, using Linking Data as a means to represent knowledge can be easier said than done. In this tutorial, we elaborate on the importance of semantically annotating data and how existing technologies facilitate their mapping to Linked Data. We introduce [R2]RML languages to generate Linked Data derived from different heterogeneous data formats –e.g.,  DBs, XML, or JSON– and from different interfaces –e.g.,  files or Web apis. Those who are not Semantic Web experts can annotate their data with the RMLEditor, whose user interface hides all underlying Semantic Web technologies to data owners. Last, we show how to easily publish Linked Data on the Web as Triple Pattern Fragments. As a result, participants, independently of their knowledge background, can model, annotate and publish data on their own.

Keywords

Linked Data generation Linked Data publishing [R2]RML Linked Data Fragments 

Notes

Acknowledgements

The described research activities were funded by Ghent University, imec, the Flanders Innovation & Entrepreneurship (AIO), the Research Foundation – Flanders (FWO), and the European Union.

References

  1. 1.
    Alexander, K., Cyganiak, R., Hausenblas, M., Zhao, J.: Describing Linked Datasets with the void Vocabulary. Interest Group Note, w3c, March 2011. https://www.w3.org/TR/void/
  2. 2.
    Barbieri, D.F., Braga, D., Ceri, S., Valle, E.D., Grossniklaus, M.: Querying rdf streams with CSPARQL. Sigmod Rec. 39(1), 20–26 (2010)CrossRefzbMATHGoogle Scholar
  3. 3.
    Berners-Lee, T.: Linked Data, July 2006. http://www.w3.org/DesignIssues/LinkedData.html
  4. 4.
    Das, S., Sundara, S., Cyganiak, R.: R2RML: RDB to rdf Mapping Language. W3C recommendation, w3c (2012). http://www.w3.org/TR/r2rml/
  5. 5.
    Dimou, A., De Nies, T., Verborgh, R., Mannens, E., Van de Walle, R.: Automated metadata generation for Linked Data generation and publishing workflows. In: Auer, S., Berners-Lee, T., Bizer, C., Heath, T. (eds.) Proceedings of the 9th Workshop on Linked Data on the Web. CEUR Workshop Proceedings, vol. 1593, April 2016Google Scholar
  6. 6.
    Dimou, A., Heyvaert, P., Maroy, W., De Graeve, L., Verborgh, R., Mannens, E.: Towards an interface for user-friendly Linked Data generation administration. In: Kawamura, T., Paulheim, H. (eds.) Proceedings of the 15th International Semantic Web Conference: Posters and Demos. CEUR Workshop Proceedings, vol. 1690, October 2016Google Scholar
  7. 7.
    Dimou, A., Kontokostas, D., Freudenberg, M., Verborgh, R., Lehmann, J., Mannens, E., Hellmann, S., Walle, R.: Assessing and refining mappingsto RDF to improve dataset quality. In: Arenas, M., et al. (eds.) ISWC 2015. LNCS, vol. 9367, pp. 133–149. Springer, Cham (2015). doi: 10.1007/978-3-319-25010-6_8 CrossRefGoogle Scholar
  8. 8.
    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. CEUR Workshop Proceedings, vol. 1184, April 2014Google Scholar
  9. 9.
    Dimou, A., Verborgh, R., Vander Sande, M., Mannens, E., Van de Walle, R.: Machine-interpretable dataset and service descriptions for heterogeneous data access and retrieval. In: Proceedings of the 11th International Conference on Semantic Systems, pp. 145–152, September 2015Google Scholar
  10. 10.
    Feigenbaum, L., Todd Williams, G., Grant Clark, K., Torres, E.: SPARQL 1.1 Protocol. Recommendation (2013). http://www.w3.org/TR/sparql11-protocol/
  11. 11.
    Fernández, J.D., Martínez-Prieto, M.A., Gutiérrez, C., Polleres, A., Arias, M.: Binary rdf representation for publication and exchange (HDT). Web Semant. Sci. Serv. Agents World Wide Web 19, 22–41 (2013)CrossRefGoogle Scholar
  12. 12.
    Harris, S., Seaborne, A., Prud’hommeaux, E.: SPARQL 1.1 Query Language. Recommendation, w3c (2013). http://www.w3.org/TR/sparql11-query/
  13. 13.
    Hartig, O., Bizer, C., Freytag, J.-C.: Executing SPARQL queries over the web of Linked Data. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 293–309. Springer, Heidelberg (2009). doi: 10.1007/978-3-642-04930-9_19 CrossRefGoogle Scholar
  14. 14.
    Heyvaert, P., Dimou, A., Herregodts, A.-L., Verborgh, R., Schuurman, D., Mannens, E., Walle, R.: RMLEditor: a graph-based mapping editor for Linked Data mappings. In: Sack, H., Blomqvist, E., d’Aquin, M., Ghidini, C., Ponzetto, S.P., Lange, C. (eds.) ESWC 2016. LNCS, vol. 9678, pp. 709–723. Springer, Cham (2016). doi: 10.1007/978-3-319-34129-3_43 CrossRefGoogle Scholar
  15. 15.
    Heyvaert, P., Dimou, A., Verborgh, R., Mannens, E., Van de Walle, R.: Towards a uniform user interface for editing mapping definitions. In: Proceedings of the 4th Workshop on Intelligent Exploration of Semantic Data. CEUR Workshop Proceedings, vol. 1472, October 2015Google Scholar
  16. 16.
    Heyvaert, P., Dimou, A., Verborgh, R., Mannens, E., Van de Walle, R.: Towards approaches for generating RDF mapping definitions. In: Proceedings of the 14th International Semantic Web Conference: Posters and Demos. CEUR Workshop Proceedings, vol. 1486, October 2015Google Scholar
  17. 17.
    Hyland, B., Atemezing, G., Villazón-Terrazas, B.: Best practices for publishing Linked Data. Working Group Note, w3c, January 2014. http://www.w3.org/TR/ld-bp/
  18. 18.
    Kontokostas, D., Westphal, P., Auer, S., Hellmann, S., Lehmann, J., Cornelissen, R., Zaveri, A.: Test-driven evaluation of Linked Data quality. In: Proceedings of the 23rd International Conference on World Wide Web (2014)Google Scholar
  19. 19.
    Maali, F., Erickson, J.: Data Catalog Vocabulary (DCAT). w3c Recommendation, w3c (2014). http://www.w3.org/TR/vocab-dcat/
  20. 20.
    Pérez, J., Arenas, M., Gutierrez, C.: Semantics and complexity of SPARQL. In: Cruz, I., et al. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 30–43. Springer, Heidelberg (2006). doi: 10.1007/11926078_3 CrossRefGoogle Scholar
  21. 21.
    Taelman, R.: Continuously self-updating query results over dynamic heterogeneous Linked Data. In: Sack, H., Blomqvist, E., d’Aquin, M., Ghidini, C., Ponzetto, S.P., Lange, C. (eds.) ESWC 2016. LNCS, vol. 9678, pp. 863–872. Springer, Cham (2016). doi: 10.1007/978-3-319-34129-3_55 CrossRefGoogle Scholar
  22. 22.
    Taelman, R., Verborgh, R., Colpaert, P., Mannens, E.: Continuous client-side query evaluation over dynamic Linked Data. In: Sack, H., Rizzo, G., Steinmetz, N., Mladenić, D., Auer, S., Lange, C. (eds.) ESWC 2016. LNCS, vol. 9989, pp. 273–289. Springer, Cham (2016). doi: 10.1007/978-3-319-47602-5_44 CrossRefGoogle Scholar
  23. 23.
    Umbrich, J., Decker, S., Hausenblas, M., Polleres, A., Hogan, A.: Towards dataset dynamics: change frequency of Linked Open data sources. In: Proceedings of the WWW 2010 Workshop on Linked Data on the Web. CEUR Workshop Proceedings, vol. 628, April 2010Google Scholar
  24. 24.
    Verborgh, R.: dbpedia’s triple pattern fragments: usage patterns and insights. In: Gandon, F., Guéret, C., Villata, S., Breslin, J., Faron-Zucker, C., Zimmermann, A. (eds.) ESWC 2015. LNCS, vol. 9341, pp. 431–442. Springer, Cham (2015). doi: 10.1007/978-3-319-25639-9_54 CrossRefGoogle Scholar
  25. 25.
    Verborgh, R.: Piecing the puzzle - self-publishing queryable research data on the Web. In: Proceedings of the 10th Workshop on Linked Data on the Web (2017)Google Scholar
  26. 26.
    Verborgh, R., Vander Sande, M., Hartig, O., Van Herwegen, J., De Vocht, L., De Meester, B., Haesendonck, G., Colpaert, P.: Triple pattern fragments: a low-cost knowledge graph interface for the web. J. Web Semant. 37–38, 184–206 (2016)CrossRefGoogle Scholar
  27. 27.
    Zaveri, A., Rula, A., Maurino, A., Pietrobon, R., Lehmann, J., Auer, S.: Quality assessment for linked data: a survey. Semant. Web J. (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Anastasia Dimou
    • 1
  • Pieter Heyvaert
    • 1
  • Ruben Taelman
    • 1
  • Ruben Verborgh
    • 1
  1. 1.Ghent University – imec – IDLabGhentBelgium

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