Reasoning Driven Configuration of Linked Data Content Management Systems

Stuart Taylor, Nophadol Jekjantuk*, Christopher Mellish, Jeff Z. Pan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

4 Citations (Scopus)

Abstract

The web of data has continued to expand thanks to the principles of Linked Data, increasing its impact on the web both in its depth and range of data sources. However tools allowing ordinary web users to contribute to this web of data are still lacking. In this paper we propose Linked Data CMS, an approach allowing existing web content management system (CMS) software to be configured to display a web site based on a group of ontology classes, by making use of a configuration to map ontological entities to CMS entities. We have implemented a prototype of our Linked Data CMS approach using the popular Drupal CMS. This approach provides the tools for semantic web application developers to rapidly develop an entire website based on linked data, while allowing ordinary web users to contribute directly to the web of data using familiar CMS tools.

Original languageEnglish
Title of host publicationSemantic Technology
Subtitle of host publicationThird Joint International Conference, JIST 2013, Revised Selected Papers
EditorsWooju Kim, Ying Ding, Hong-Gee Kim
PublisherSpringer-Verlag
Pages429-444
Number of pages16
Volume8388
ISBN (Electronic)9783319068268
ISBN (Print)9783319068251
DOIs
Publication statusPublished - 2014
Event3rd Joint International Semantic Technology Conference, JIST 2013 - Seoul, Korea, Republic of
Duration: 28 Nov 201330 Nov 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8388 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference3rd Joint International Semantic Technology Conference, JIST 2013
Country/TerritoryKorea, Republic of
CitySeoul
Period28/11/1330/11/13

Bibliographical note

This work is partially supported by the RCUK dot.rural Digital Economic Hub and the EU K-Drive (286348) projects.

Keywords

  • Content management systems
  • Linked data
  • Ontologies

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