Home > Research > Publications & Outputs > Approaches to visualising linked data

Research

Links

Text available via DOI:

Keywords

View graph of relations

Approaches to visualising linked data: a survey

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Approaches to visualising linked data: a survey. / Dadzie, Aba-Sah; Rowe, Matthew.
In: International Journal on Semantic Web and Information Systems, Vol. 2, No. 2, 2011, p. 89-124.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Dadzie, A-S & Rowe, M 2011, 'Approaches to visualising linked data: a survey', International Journal on Semantic Web and Information Systems, vol. 2, no. 2, pp. 89-124. https://doi.org/10.3233/SW-2011-0037

APA

Dadzie, A-S., & Rowe, M. (2011). Approaches to visualising linked data: a survey. International Journal on Semantic Web and Information Systems, 2(2), 89-124. https://doi.org/10.3233/SW-2011-0037

Vancouver

Dadzie A-S, Rowe M. Approaches to visualising linked data: a survey. International Journal on Semantic Web and Information Systems. 2011;2(2):89-124. Epub 2011 Jun 8. doi: 10.3233/SW-2011-0037

Author

Dadzie, Aba-Sah ; Rowe, Matthew. / Approaches to visualising linked data : a survey. In: International Journal on Semantic Web and Information Systems. 2011 ; Vol. 2, No. 2. pp. 89-124.

Bibtex

@article{f1936f6691024d9aa3d057263e5c3a72,
title = "Approaches to visualising linked data: a survey",
abstract = "The uptake and consumption of Linked Data is currently restricted almost entirely to the Semantic Web community. While the utility of Linked Data to non-tech savvy web users is evident, the lack of technical knowledge and an understanding of the intricacies of the semantic technology stack limit such users in their ability to interpret and make use of the Web of Data. A key solution in overcoming this hurdle is to visualise Linked Data in a coherent and legible manner, allowing non-domain and non-technical audiences to obtain a good understanding of its structure, and therefore implicitly compose queries, identify links between resources and intuitively discover new pieces of information. In this paper we describe key requirements which the visualisation of Linked Data must fulfil in order to lower the technical barrier and make the Web of Data accessible for all. We provide an extensive survey of current efforts in the Semantic Web community with respect to our requirements, and identify the potential for visual support to lead to more effective, intuitive interaction of the end user with Linked Data. We conclude with the conclusions drawn from our survey and analysis, and present proposals for advancing current Linked Data visualisation efforts.",
keywords = "Linked data, information visualisation, visual analytics, user-centred design, users , consumption",
author = "Aba-Sah Dadzie and Matthew Rowe",
year = "2011",
doi = "10.3233/SW-2011-0037",
language = "English",
volume = "2",
pages = "89--124",
journal = "International Journal on Semantic Web and Information Systems",
issn = "1552-6291",
publisher = "IGI Publishing",
number = "2",

}

RIS

TY - JOUR

T1 - Approaches to visualising linked data

T2 - a survey

AU - Dadzie, Aba-Sah

AU - Rowe, Matthew

PY - 2011

Y1 - 2011

N2 - The uptake and consumption of Linked Data is currently restricted almost entirely to the Semantic Web community. While the utility of Linked Data to non-tech savvy web users is evident, the lack of technical knowledge and an understanding of the intricacies of the semantic technology stack limit such users in their ability to interpret and make use of the Web of Data. A key solution in overcoming this hurdle is to visualise Linked Data in a coherent and legible manner, allowing non-domain and non-technical audiences to obtain a good understanding of its structure, and therefore implicitly compose queries, identify links between resources and intuitively discover new pieces of information. In this paper we describe key requirements which the visualisation of Linked Data must fulfil in order to lower the technical barrier and make the Web of Data accessible for all. We provide an extensive survey of current efforts in the Semantic Web community with respect to our requirements, and identify the potential for visual support to lead to more effective, intuitive interaction of the end user with Linked Data. We conclude with the conclusions drawn from our survey and analysis, and present proposals for advancing current Linked Data visualisation efforts.

AB - The uptake and consumption of Linked Data is currently restricted almost entirely to the Semantic Web community. While the utility of Linked Data to non-tech savvy web users is evident, the lack of technical knowledge and an understanding of the intricacies of the semantic technology stack limit such users in their ability to interpret and make use of the Web of Data. A key solution in overcoming this hurdle is to visualise Linked Data in a coherent and legible manner, allowing non-domain and non-technical audiences to obtain a good understanding of its structure, and therefore implicitly compose queries, identify links between resources and intuitively discover new pieces of information. In this paper we describe key requirements which the visualisation of Linked Data must fulfil in order to lower the technical barrier and make the Web of Data accessible for all. We provide an extensive survey of current efforts in the Semantic Web community with respect to our requirements, and identify the potential for visual support to lead to more effective, intuitive interaction of the end user with Linked Data. We conclude with the conclusions drawn from our survey and analysis, and present proposals for advancing current Linked Data visualisation efforts.

KW - Linked data

KW - information visualisation

KW - visual analytics

KW - user-centred design

KW - users

KW - consumption

U2 - 10.3233/SW-2011-0037

DO - 10.3233/SW-2011-0037

M3 - Journal article

VL - 2

SP - 89

EP - 124

JO - International Journal on Semantic Web and Information Systems

JF - International Journal on Semantic Web and Information Systems

SN - 1552-6291

IS - 2

ER -