Paper Info
Title
PARMENIDES: Towards Business Intelligence Discovery from Web Data
Abstract
The amounts of heterogeneous data that are available on the web have made information management a seriously complicated task. In the context of the present work, PARMENIDES, a business-oriented framework for information management on the web is introduced. Semantic information is extracted from web data and warehoused in a way that enables its efficient retrieval and reasoning towards the support for business intelligence tasks. The capabilities of the PARMENIDES approach are demonstrated via a case study based on the life sciences domain.
Year
DOI
Venue
2006
10.1109/WI.2006.128
Web Intelligence
Keywords
Field
DocType
parmenides approach,web data,heterogeneous data,complicated task,business intelligence task,towards business intelligence discovery,business-oriented framework,semantic information,case study,information management,efficient retrieval,information retrieval,business intelligence,data mining,competitive intelligence,semantic web,data warehouses
Data warehouse,Data science,Data mining,World Wide Web,Information management,Web intelligence,Semantic Web Stack,Computer science,Semantic Web,Data Web,Web modeling,Business intelligence
Conference
ISBN
Citations 
PageRank 
0-7695-2747-7
9
0.73
References 
Authors
4
3
Name
Order
Citations
PageRank
Alexander Mikroyannidis111621.79
Babis Theodoulidis235376.60
Andreas Persidis3564.24