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 proceedingConference 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
CountryKorea, Republic of
CitySeoul
Period28/11/1330/11/13

Fingerprint

Linked Data
Reasoning
Configuration
Websites
Semantic Web
World Wide Web
Ontology
Web Application
Software System
Expand
Entire
Prototype

Keywords

  • Content management systems
  • Linked data
  • Ontologies

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Taylor, S., Jekjantuk, N., Mellish, C., & Pan, J. Z. (2014). Reasoning Driven Configuration of Linked Data Content Management Systems. In W. Kim, Y. Ding, & H-G. Kim (Eds.), Semantic Technology: Third Joint International Conference, JIST 2013, Revised Selected Papers (Vol. 8388, pp. 429-444). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8388 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-06826-8_31

Reasoning Driven Configuration of Linked Data Content Management Systems. / Taylor, Stuart; Jekjantuk, Nophadol; Mellish, Christopher; Pan, Jeff Z.

Semantic Technology: Third Joint International Conference, JIST 2013, Revised Selected Papers. ed. / Wooju Kim; Ying Ding; Hong-Gee Kim. Vol. 8388 Springer-Verlag, 2014. p. 429-444 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8388 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Taylor, S, Jekjantuk, N, Mellish, C & Pan, JZ 2014, Reasoning Driven Configuration of Linked Data Content Management Systems. in W Kim, Y Ding & H-G Kim (eds), Semantic Technology: Third Joint International Conference, JIST 2013, Revised Selected Papers. vol. 8388, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8388 LNCS, Springer-Verlag, pp. 429-444, 3rd Joint International Semantic Technology Conference, JIST 2013, Seoul, Korea, Republic of, 28/11/13. https://doi.org/10.1007/978-3-319-06826-8_31
Taylor S, Jekjantuk N, Mellish C, Pan JZ. Reasoning Driven Configuration of Linked Data Content Management Systems. In Kim W, Ding Y, Kim H-G, editors, Semantic Technology: Third Joint International Conference, JIST 2013, Revised Selected Papers. Vol. 8388. Springer-Verlag. 2014. p. 429-444. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-06826-8_31
Taylor, Stuart ; Jekjantuk, Nophadol ; Mellish, Christopher ; Pan, Jeff Z. / Reasoning Driven Configuration of Linked Data Content Management Systems. Semantic Technology: Third Joint International Conference, JIST 2013, Revised Selected Papers. editor / Wooju Kim ; Ying Ding ; Hong-Gee Kim. Vol. 8388 Springer-Verlag, 2014. pp. 429-444 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{cf803c26896044f8b6feadc89c0f3ba8,
title = "Reasoning Driven Configuration of Linked Data Content Management Systems",
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.",
keywords = "Content management systems, Linked data, Ontologies",
author = "Stuart Taylor and Nophadol Jekjantuk and Christopher Mellish and Pan, {Jeff Z.}",
note = "This work is partially supported by the RCUK dot.rural Digital Economic Hub and the EU K-Drive (286348) projects.",
year = "2014",
doi = "10.1007/978-3-319-06826-8_31",
language = "English",
isbn = "9783319068251",
volume = "8388",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "429--444",
editor = "Wooju Kim and Ying Ding and Hong-Gee Kim",
booktitle = "Semantic Technology",

}

TY - GEN

T1 - Reasoning Driven Configuration of Linked Data Content Management Systems

AU - Taylor, Stuart

AU - Jekjantuk, Nophadol

AU - Mellish, Christopher

AU - Pan, Jeff Z.

N1 - This work is partially supported by the RCUK dot.rural Digital Economic Hub and the EU K-Drive (286348) projects.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Content management systems

KW - Linked data

KW - Ontologies

UR - http://www.scopus.com/inward/record.url?scp=84902593613&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-06826-8_31

DO - 10.1007/978-3-319-06826-8_31

M3 - Conference contribution

SN - 9783319068251

VL - 8388

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 429

EP - 444

BT - Semantic Technology

A2 - Kim, Wooju

A2 - Ding, Ying

A2 - Kim, Hong-Gee

PB - Springer-Verlag

ER -