Taming Data Explosion in Probabilistic Information Integration


Keijzer, Ander de and Keulen, Maurice van and Li, Yiping (2006) Taming Data Explosion in Probabilistic Information Integration. [Report]

open access
Abstract:Data integration has been a challenging problem for decades. In an ambient environment, where many autonomous devices have their own information sources and network connectivity is ad hoc and peer-to-peer, it even becomes a serious bottleneck. To enable devices to exchange information without the need for interaction with a user at data integration time and without the need for extensive semantic annotations, a probabilistic approach seems rather promising. It simply teaches the device how to cope with the uncertainty occurring during data integration. Unfortunately, without any kind of world knowledge, almost everything becomes uncertain, hence maintaining all possibilities produces huge integrated information sources. In this paper, we claim that only very simple and generic rules are enough world knowledge to drastically reduce the amount of uncertainty, hence to tame the data explosion to a manageable size.
Item Type:Report
Additional information:Imported from CTIT and EWI/DB PMS [db-utwente:tech:0000003715], Extended version of IIDB-paper.
Copyright:© 2006 University of Twente, Centre for Telematics and Information Technology
Science and Technology (TNW)
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/66507
Official URL:http://www.ub.utwente.nl/webdocs/ctit/1/00000161.pdf
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page

Metis ID: 238691