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Templating the Semantic Web via RSLT

  • Silvio Peroni
  • Fabio Vitali
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9341)

Abstract

In this paper we introduce RSLT, a simple transformation language for RDF data. RSLT organises the rendering of RDF statements as transformation templates associated to properties or resource types and producing HTML. A prototype based on AngularJs is presented and we also discuss some implementation details and examples.

Keywords

RDF dataset visualisation RSLT Templates 

References

  1. 1.
    Bagnacani, A., Ciancarini, P., Di Iorio, A., Nuzzolese, A.G., Peroni, S., Vitali, F.: The semantic Lancet project: a linked open dataset for scholarly publishing. In: Lambrix, P., Hyvönen, E., Blomqvist, E., Presutti, V., Qi, G., Sattler, U., Ding, Y., Ghidini, C. (eds.) EKWA 2014 Satellite Events. LNCS, vol. 8982, pp. 101–105. Springer, Heidelberg (2015) Google Scholar
  2. 2.
    Bischof, S., Decker, S., Krennwallner, T., Lopes, N., Polleres, A.: Mapping between RDF and XML with XSPARQL. J. Data Semant. 1(3), 147–185 (2012)CrossRefGoogle Scholar
  3. 3.
    Corby, O., Faron-Zucker, C., Gandon, F.: SPARQL template: a transformation language for RDF (2014). https://hal.inria.fr/hal-00969068v1
  4. 4.
    Kay, M.: XSL Transformations (XSLT) Version 2.0. W3C Recommendation, 23 January 2007. World Wide Web Consortium (2007). http://www.w3.org/TR/xslt20/
  5. 5.
    Luggen, M., Gschwend, A., Bernhard, A., Cudré-Mauroux, P.: Uduvudu: a graph-aware and adaptive UI engine for linked data. In: Proceedings of LDOW 2015 (2015)Google Scholar
  6. 6.
    Pietriga, E., Bizer, C., Karger, D.R., Lee, R.: Fresnel: a browser-independent presentation vocabulary for RDF. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 158–171. Springer, Heidelberg (2006) CrossRefGoogle Scholar
  7. 7.
    Skjveland, M.G.: Sgvizler: a javascript wrapper for easy visualization of SPARQL result sets. In: Proceedings of the Workshops and Demo tracks of ESWC 2012 (2012)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringUniversity of BolognaBolognaItaly
  2. 2.STLab-ISTC, Consiglio Nazionale Delle RicercheRomeItaly

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