Although search engines are playing a crucial role for the retrieval of information from the Web, they cannot guarantee the quality required for most relevant business activities as well as for many top-level research projects. In this paper we present MumbleSearch, a Web Content Monitor which is especially conceived to extract and organize topic-based information with emphasis on quality requirements. We present the architecture of the software platform and its deployment for a real-world application, involving Italian Small and Medium Enterprises (SME).
Baldini, N., Gori, M., Maggini, M. (2004). Mumblesearch Extraction of high quality Web information for SME. In Proceedings of the IEEE International Conference on Web Intelligence (WIC 2004) (pp.757-760) [10.1109/WI.2004.10004].
Mumblesearch Extraction of high quality Web information for SME
BALDINI, NICOLA;GORI, MARCO;MAGGINI, MARCO
2004-01-01
Abstract
Although search engines are playing a crucial role for the retrieval of information from the Web, they cannot guarantee the quality required for most relevant business activities as well as for many top-level research projects. In this paper we present MumbleSearch, a Web Content Monitor which is especially conceived to extract and organize topic-based information with emphasis on quality requirements. We present the architecture of the software platform and its deployment for a real-world application, involving Italian Small and Medium Enterprises (SME).File | Dimensione | Formato | |
---|---|---|---|
WI04b.pdf
non disponibili
Tipologia:
Post-print
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
259.32 kB
Formato
Adobe PDF
|
259.32 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/37901
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo