Linked open data and research knowledge management: an exploratory search and visualization framework
- Author
- Peter Mechant (UGent) , Mathias Van Compernolle (UGent) , Anastasia Dimou (UGent) , Laurens De Vocht (UGent) and Lieven De Marez (UGent)
- Organization
- 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.
- Keywords
- research knowledge management, exploratory search, research projects, Linked Open Data (LOD), visualisation
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-5687774
- MLA
- Mechant, Peter, 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, edited by L Gómez Chova et al., IATED Academy, 2014.
- 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. Barcelona: IATED Academy.
- Chicago author-date
- 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, edited by L Gómez Chova, A López Martínez, and I Candel Torres. Barcelona: IATED Academy.
- Chicago author-date (all authors)
- 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 by. L Gómez Chova, A López Martínez, and I Candel Torres. 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.
- IEEE
- [1]P. Mechant, M. Van Compernolle, A. Dimou, L. De Vocht, and L. De Marez, “Linked open data and research knowledge management: an exploratory search and visualization framework,” in 6th International Conference on Education and New Learning Technologies, Proceedings, Barcelona, Spanje, 2014.
@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 ‘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.}},
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 = {{Gómez Chova, L and López Martínez, A and Candel Torres, I}},
isbn = {{9788461705573}},
keywords = {{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}},
}