User Feedback in Probabilistic XML


Keijzer, A. de and Keulen, M. van (2007) User Feedback in Probabilistic XML. [Report]

open access
Abstract:Data integration is a challenging problem in many application areas. Approaches mostly attempt to resolve semantic uncertainty and conflicts between information sources as part of the data integration process. In some application areas, this is impractical or even prohibitive, for example, in an ambient environment where devices on an ad hoc basis have to exchange information autonomously. We have proposed a probabilistic XML approach that allows data integration without user involvement by storing semantic uncertainty and conflicts in the integrated XML data. As a
consequence, the integrated information source represents
all possible appearances of objects in the real world, the
so-called possible worlds.

In this paper, we show how user feedback on query results
can resolve semantic uncertainty and conflicts in the
integrated data. Hence, user involvement is effectively postponed to query time, when a user is already interacting actively with the system. The technique relates positive and
negative statements on query answers to the possible worlds
of the information source thereby either reinforcing, penalizing, or eliminating possible worlds. We show that after repeated user feedback, an integrated information source better resembles the real world and may converge towards a non-probabilistic information source.
Item Type:Report
Science and Technology (TNW)
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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