Data 2 Documents: Modular and Distributive Content Management in RDF

  • Niels Ockeloen
  • Victor de Boer
  • Tobias Kuhn
  • Guus Schreiber
Conference paper

DOI: 10.1007/978-3-319-49004-5_29

Volume 10024 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
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

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.

Keywords

RDF Vocabulary Linked Data Web documents Content management Semantic Web HTML5 

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Niels Ockeloen
    • 1
  • Victor de Boer
    • 1
  • Tobias Kuhn
    • 1
  • Guus Schreiber
    • 1
  1. 1.The Network InstituteVU University AmsterdamAmsterdamThe Netherlands