Title :
PARMENIDES: Towards Business Intelligence Discovery from Web Data
Author :
Mikroyannidis, Alexander ; Theodoulidis, Babis ; Persidis, Andreas
Author_Institution :
Sch. of Informatics, Manchester Univ.
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
Keywords :
business data processing; competitive intelligence; data mining; data warehouses; inference mechanisms; information retrieval; semantic Web; PARMENIDES; Web data; business intelligence discovery; business-oriented framework; information management; life science domain; semantic information; Bismuth; Business; Companies; Data mining; Databases; Information filtering; Information filters; Information management; Monitoring; Natural languages;
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7
DOI :
10.1109/WI.2006.128
