In the web of data, similarity recognition is the basis for a variety of resource-consuming activities and applications, including data recommendation, data aggregation, and data analysis. In this paper, we propose HMatch4, a novel instance matching algorithm for similarity recognition, which has been developed on the ground of our experience with HMatch3 [3].
Similarity recognition in the Web of data / A. Ferrara, L. Genta, S. Montanelli - In: Proceedings of the workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014) : Athens, Greece, march 28, 2014 / [a cura di] K. Selcuk Candan, S. Amer-Yahia, N. Schweikardt, V. Christophides, V. Leroy. - Aachen : CEUR, 2014. - pp. 263-268 (( convegno Workshops of the EDBT/ICDT Joint Conference tenutosi a Athens nel 2014.
Similarity recognition in the Web of data
A. Ferrara;L. Genta;S. Montanelli
2014
Abstract
In the web of data, similarity recognition is the basis for a variety of resource-consuming activities and applications, including data recommendation, data aggregation, and data analysis. In this paper, we propose HMatch4, a novel instance matching algorithm for similarity recognition, which has been developed on the ground of our experience with HMatch3 [3].
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
