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Data 2 Documents: Modular and Distributive Content Management in RDF

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Knowledge Engineering and Knowledge Management (EKAW 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10024))

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Abstract

Content Management Systems haven’t gained much from the Linked Data uptake, and sharing content between different websites and systems is hard. On the other side, using Linked Data in web documents is not as trivial as managing regular web content using a CMS. To address these issues, we present a method for creating human readable web documents out of machine readable web data, focussing on modularity and re-use. A vocabulary is introduced to structure the knowledge involved in these tasks in a modular and distributable fashion. The vocabulary has a strong relation with semantic elements in HTML5 and allows for a declarative form of content management expressed in RDF. We explain and demonstrate the vocabulary using concrete examples with RDF data from various sources and present a user study in two sessions involving (semantic) web experts and computer science students.

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Notes

  1. 1.

    http://w3techs.com/technologies/overview/content_management/all, retrieved 5 July 2016.

  2. 2.

    http://www.wordpress.com.

  3. 3.

    http://www.joomla.org.

  4. 4.

    http://www.drupal.org.

  5. 5.

    Example of a Joomla to WordPress migration plugin: https://wordpress.org/plugins/fg-joomla-to-wordpress/.

  6. 6.

    https://github.com/data2documents/reference-implementation-php.

  7. 7.

    http://www.w3.org/TR/html5-diff/#new-elements.

  8. 8.

    http://www.w3.org/TR/html5/#the-article-element, retrieved 12 July 2016.

  9. 9.

    http://www.data2documents.org/documentation#vocabulary.

  10. 10.

    http://www.data2documents.org/documentation#templates.

  11. 11.

    Shapes Constraint Language: https://www.w3.org/TR/shacl/.

  12. 12.

    http://web.resource.org/rss/1.0/.

  13. 13.

    http://www.rssboard.org/rss-specification.

  14. 14.

    http://tools.ietf.org/html/rfc4287.

  15. 15.

    RSS extended with ‘itunes’ elements: http://www.podcast411.com/page2.html.

  16. 16.

    http://jquery.com.

  17. 17.

    http://typo3.org.

  18. 18.

    Example site: http://kmvuxx.biographynet.nl.

  19. 19.

    Participant site after completing the evaluation: http://kmvu03.biographynet.nl.

  20. 20.

    The detailed instructions can be found here: http://biographynet.nl/assignment/.

  21. 21.

    http://www.data2documents.org/#evaluation.

  22. 22.

    http://www.swi-prolog.org.

  23. 23.

    http://cliopatria.swi-prolog.org.

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Acknowledgments

This work was supported by the BiographyNet(http://www.biographynet.nl) project (Nr. 660.011.308), funded by the Netherlands eScience Center(http://esciencecenter.nl). Partners in this project are the Netherlands eScience Center, the Huygens/ING Institute of the Royal Dutch Academy of Sciences and VU University Amsterdam.

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Authors and Affiliations

  1. The Network Institute, VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Niels Ockeloen, Victor de Boer, Tobias Kuhn & Guus Schreiber

Authors
  1. Niels Ockeloen
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  2. Victor de Boer
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  3. Tobias Kuhn
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  4. Guus Schreiber
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Correspondence to Niels Ockeloen .

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Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Eva Blomqvist

  2. University of Bologna, Bologna, Italy

    Paolo Ciancarini

  3. University of Bologna, Bologna, Italy

    Francesco Poggi

  4. University of Bologna, Bologna, Italy

    Fabio Vitali

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Ockeloen, N., de Boer, V., Kuhn, T., Schreiber, G. (2016). Data 2 Documents: Modular and Distributive Content Management in RDF. In: Blomqvist, E., Ciancarini, P., Poggi, F., Vitali, F. (eds) Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science(), vol 10024. Springer, Cham. https://doi.org/10.1007/978-3-319-49004-5_29

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  • DOI: https://doi.org/10.1007/978-3-319-49004-5_29

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