The development of solutions to effectively browse and explore the huge amount of data actually available in the Linked Data Cloud is getting more and more importance. As a result, automated techniques to generate high-level, concept-based information structures are recently being emerging. The notion of inCloud we proposed is an example in this direction. In this paper, we propose to extend the inCloud construction process with crowdsourced knowledge, to benefit from human knowledge and experience for improving the overall quality of resulting inClouds for linked data exploration.
Leveraging crowdsourced knowledge for web data clouds empowerment / S. Castano, L. Genta, S. Montanelli - In: IEEE 7th International Conference on Research Challenges in Information Science (RCIS) / [a cura di] R. Wieringa, S. Nurcan, C. Rolland, J.-L. Cavarero. - [s.l] : IEEE, 2013. - ISBN 9781467329125. - pp. 1-10 (( Intervento presentato al 7. convegno International Conference on Research Challenges in Information Science (RCIS) tenutosi a Paris nel 2013 [10.1109/RCIS.2013.6577719].
Leveraging crowdsourced knowledge for web data clouds empowerment
S. CastanoPrimo
;L. GentaSecondo
;S. MontanelliUltimo
2013
Abstract
The development of solutions to effectively browse and explore the huge amount of data actually available in the Linked Data Cloud is getting more and more importance. As a result, automated techniques to generate high-level, concept-based information structures are recently being emerging. The notion of inCloud we proposed is an example in this direction. In this paper, we propose to extend the inCloud construction process with crowdsourced knowledge, to benefit from human knowledge and experience for improving the overall quality of resulting inClouds for linked data exploration.File | Dimensione | Formato | |
---|---|---|---|
06577719.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
605.2 kB
Formato
Adobe PDF
|
605.2 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.