Pay-as-you-go user feedback for dataspace systems

A primary challenge to large-scale data integration is creating semantic equivalences between elements from different data sources that correspond to the same real-world entity or concept. Dataspaces propose a pay-as-you-go approach: automated mechanisms such as schema matching and reference reconciliation provide initial correspondences, termed candidate matches, and then user feedback is used to incrementally confirm these matches. The key to this approach is to determine in what order to solicit user feedback for confirming candidate matches. In this paper, we develop a decision-theoretic framework for ordering candidate matches for user confirmation using the concept of the value of perfect information (VPI ). At the core of this concept is a utility function that quantifies the desirability of a given state; thus, we devise a utility function for dataspaces based on query result quality. We show in practice how to efficiently apply VPI in concert with this utility function to ord...

• Type: Conference
• Year: 2008
• Where: SIGMOD
• Authors: Shawn R. Jeffery, Michael J. Franklin, Alon Y. Halevy
• Keywords: Candidate Matches, Database, Order User Confirmations, SIGMOD 2008, User Feedback