Paper Info
Title
MumbleSearch Extraction of High Quality Web information for SME
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).
Year
DOI
Venue
2004
10.1109/WI.2004.102
Web Intelligence
Keywords
Field
DocType
medium enterprises,crucial role,mumblesearch extraction,software platform,top-level research project,real-world application,relevant business activity,high quality web information,search engine,web content monitor,topic-based information,quality requirement,web service,computer architecture,data mining,intelligent agent,e commerce,indexing,small and medium enterprise,search engines,content management,information retrieval
Small and medium-sized enterprises,Data mining,Intelligent agent,Software deployment,Information retrieval,Computer science,Search engine indexing,Content management,Web service,Web content,E-commerce
Conference
ISBN
Citations 
PageRank 
0-7695-2100-2
2
0.43
References 
Authors
3
3
Name
Order
Citations
PageRank
Nicola Baldini1254.20
Marco Gori283983.06
Marco Maggini376672.78