DocumentCode
3231754
Title
PARMENIDES: Towards Business Intelligence Discovery from Web Data
Author
Mikroyannidis, Alexander ; Theodoulidis, Babis ; Persidis, Andreas
Author_Institution
Sch. of Informatics, Manchester Univ.
fYear
2006
fDate
18-22 Dec. 2006
Firstpage
1057
Lastpage
1060
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-2747-7
Type
conf
DOI
10.1109/WI.2006.128
Filename
4061521
Link To Document