PARMENIDES: Towards Business Intelligence Discovery from Web Data

Authors:
Alexander Mikroyannidis;Babis Theodoulidis;Andreas Persidis
Affiliations:
University of Manchester, United Kingdom;University of Manchester, United Kingdom;Biovista, Greece
Venue:
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2006

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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.