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Linked open data and research knowledge management: an exploratory search and visualization framework

Peter Mechant UGent, Mathias Van Compernolle UGent, Anastasia Dimou UGent, Laurens De Vocht and Lieven De Marez UGent (2014) 6th International Conference on Education and New Learning Technologies, Proceedings.
abstract
This paper describes and evaluates an exploratory search and visualization framework that enables non-expert users to interact and intuitively explore academic and bibliographic information. The framework, called the ‘Linked Open Data Visualizations Suite’ (LOD/VizSuite), uses the Linked Open Data (LOD) of RILOD, a database with academic bibliographic data from heterogeneous sources on research in Flanders (northern part of Belgium), and supports exploratory search and data analysis by means of interactive graph-based visualizations. First a literature review on (Linked) Open Data and exploratory search is presented. Second, we describe LOD/VizSuite and its goals. Third, we investigate the impact and quality of the visualization with test users (n=36) using a multi-method approach. Results show that a flow of graph-based visualizations is feasible with Linked Open Data and that users perceived that they found relevant insights about the researchers or disciplines they were exploring or looking for. We conclude that search and visualization frameworks on Linked Open Data and LOD/VizSuite in specific, can be supportive for scholars in academia as well as for policymakers in the research field.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
research knowledge management, exploratory search, research projects, Linked Open Data (LOD), visualisation
in
6th International Conference on Education and New Learning Technologies, Proceedings
editor
L Gómez Chova, A López Martínez and I Candel Torres
publisher
IATED Academy
place of publication
Barcelona
conference name
6th International Conference on Education and New Learning Technologies (EDULEARN - 2014 )
conference location
Barcelona, Spanje
conference start
2014-07-07
conference end
2014-07-09
ISBN
9788461705573
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
5687774
handle
http://hdl.handle.net/1854/LU-5687774
date created
2014-09-01 16:06:20
date last changed
2017-01-02 09:53:12
@inproceedings{5687774,
  abstract     = {This paper describes and evaluates an exploratory search and visualization framework that enables non-expert users to interact and intuitively explore academic and bibliographic information. The framework, called the {\textquoteleft}Linked Open Data Visualizations Suite{\textquoteright} (LOD/VizSuite), uses the Linked Open Data (LOD) of RILOD, a database with academic bibliographic data from heterogeneous sources on research in Flanders (northern part of Belgium), and supports exploratory search and data analysis by means of interactive graph-based visualizations. First a literature review on (Linked) Open Data and exploratory search is presented. Second, we describe LOD/VizSuite and its goals. Third, we investigate the impact and quality of the visualization with test users (n=36) using a multi-method approach.  Results show that a flow of graph-based visualizations is feasible with Linked Open Data and that users perceived that they found relevant insights about the researchers or disciplines they were exploring or looking for. We conclude that search and visualization frameworks on Linked Open Data and LOD/VizSuite in specific, can be supportive for scholars in academia as well as for policymakers in the research field.},
  author       = {Mechant, Peter and Van Compernolle, Mathias and Dimou, Anastasia and De Vocht, Laurens and De Marez, Lieven},
  booktitle    = {6th International Conference on Education and New Learning Technologies, Proceedings},
  editor       = {G{\'o}mez Chova, L and L{\'o}pez Mart{\'i}nez, A and Candel Torres, I},
  isbn         = {9788461705573},
  keyword      = {research knowledge management,exploratory search,research projects,Linked Open Data (LOD),visualisation},
  language     = {eng},
  location     = {Barcelona, Spanje},
  publisher    = {IATED Academy},
  title        = {Linked open data and research knowledge management: an exploratory search and visualization framework},
  year         = {2014},
}

Chicago
Mechant, Peter, Mathias Van Compernolle, Anastasia Dimou, Laurens De Vocht, and Lieven De Marez. 2014. “Linked Open Data and Research Knowledge Management: An Exploratory Search and Visualization Framework.” In 6th International Conference on Education and New Learning Technologies, Proceedings, ed. L Gómez Chova, A López Martínez, and I Candel Torres. Barcelona: IATED Academy.
APA
Mechant, P., Van Compernolle, M., Dimou, A., De Vocht, L., & De Marez, L. (2014). Linked open data and research knowledge management: an exploratory search and visualization framework. In L. Gómez Chova, A. López Martínez, & I. Candel Torres (Eds.), 6th International Conference on Education and New Learning Technologies, Proceedings. Presented at the 6th International Conference on Education and New Learning Technologies (EDULEARN - 2014 ), Barcelona: IATED Academy.
Vancouver
1.
Mechant P, Van Compernolle M, Dimou A, De Vocht L, De Marez L. Linked open data and research knowledge management: an exploratory search and visualization framework. In: Gómez Chova L, López Martínez A, Candel Torres I, editors. 6th International Conference on Education and New Learning Technologies, Proceedings. Barcelona: IATED Academy; 2014.
MLA
Mechant, Peter, Mathias Van Compernolle, Anastasia Dimou, et al. “Linked Open Data and Research Knowledge Management: An Exploratory Search and Visualization Framework.” 6th International Conference on Education and New Learning Technologies, Proceedings. Ed. L Gómez Chova, A López Martínez, & I Candel Torres. Barcelona: IATED Academy, 2014. Print.