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2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06)
PARMENIDES: Towards Business Intelligence Discovery from Web Data
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2747-7
Alexander Mikroyannidis, University of Manchester, United Kingdom
Babis Theodoulidis, University of Manchester, United Kingdom
Andreas Persidis, Biovista, Greece
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.
Citation:
Alexander Mikroyannidis, Babis Theodoulidis, Andreas Persidis, "PARMENIDES: Towards Business Intelligence Discovery from Web Data," wi, pp.1057-1060, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006
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