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