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.
Ockeloen, N., de Boer, V., Kuhn, T., & Schreiber, G. (2016). Data 2 documents: Modular and distributive content management in RDF. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10024 LNAI, pp. 447–462). Springer Verlag. https://doi.org/10.1007/978-3-319-49004-5_29