This paper presents techniques for tailoring linked data exploration by relying on the use of high-level, intuitive organization structures called inClouds (information Clouds). Techniques based on content filtering and relevance filtering are proposed for enabling a user to adjust the inCloud visualization according to her/his own preferences.
Tailoring linked data exploration through inCloud filtering / A. Ferrara, L. Genta, S. Montanelli - In: EDBT-ICDT '12 : proceedings of the 2012 joint EDBT/ICDT workshops : Berlin, Germany, march 30, 2012 / [a cura di] D. Srivastava, I. Ari. - New York : Association for computing machinery, 2012. - ISBN 9781450311434. - pp. 140-143 (( Intervento presentato al 15. convegno International Conference on Extending Database Technology tenutosi a Berlin nel 2012 [10.1145/2320765.2320810].
Tailoring linked data exploration through inCloud filtering
A. FerraraPrimo
;L. GentaSecondo
;S. MontanelliUltimo
2012
Abstract
This paper presents techniques for tailoring linked data exploration by relying on the use of high-level, intuitive organization structures called inClouds (information Clouds). Techniques based on content filtering and relevance filtering are proposed for enabling a user to adjust the inCloud visualization according to her/his own preferences.
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