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Belief Merging by Examples

Belief Merging by Examples Belief Merging by Examples PAOLO LIBERATORE, Sapienza University of Rome A common assumption in belief revision is that the reliability of the information sources is either given, derived from temporal information, or the same for all. This article does not describe a new semantics for integration but studies the problem of obtaining the reliability of the sources given the result of a previous merging. As an example, corrections performed manually on the result of merging some databases may indicate that the relative reliability of their sources is different from what was previously assumed, helping subsequent data mergings. CCS Concepts: Computing methodologies Nonmonotonic, default reasoning and belief revision Additional Key Words and Phrases: Belief merging, reliability estimation ACM Reference Format: Paolo Liberatore. 2015. Belief merging by examples. ACM Trans. Comput. Logic 17, 2, Article 9 (December 2015), 38 pages. DOI: http://dx.doi.org/10.1145/2818645 r 1. INTRODUCTION When integrating information coming from different sources, a distinction is made be¨ tween revision [Gardenfors 1988; Darwiche and Pearl 1997; Jin and Thielscher 2007; Peppas 2008; Delgrande 2012] (new information more reliable than old) and merging [Liberatore and Schaerf 1998; Chopra et al. 2006; Konieczny and P´ rez 2011] e (same reliability). More generally, priorities http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Computational Logic (TOCL) Association for Computing Machinery

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2015 by ACM Inc.
ISSN
1529-3785
DOI
10.1145/2818645
Publisher site
See Article on Publisher Site

Abstract

Belief Merging by Examples PAOLO LIBERATORE, Sapienza University of Rome A common assumption in belief revision is that the reliability of the information sources is either given, derived from temporal information, or the same for all. This article does not describe a new semantics for integration but studies the problem of obtaining the reliability of the sources given the result of a previous merging. As an example, corrections performed manually on the result of merging some databases may indicate that the relative reliability of their sources is different from what was previously assumed, helping subsequent data mergings. CCS Concepts: Computing methodologies Nonmonotonic, default reasoning and belief revision Additional Key Words and Phrases: Belief merging, reliability estimation ACM Reference Format: Paolo Liberatore. 2015. Belief merging by examples. ACM Trans. Comput. Logic 17, 2, Article 9 (December 2015), 38 pages. DOI: http://dx.doi.org/10.1145/2818645 r 1. INTRODUCTION When integrating information coming from different sources, a distinction is made be¨ tween revision [Gardenfors 1988; Darwiche and Pearl 1997; Jin and Thielscher 2007; Peppas 2008; Delgrande 2012] (new information more reliable than old) and merging [Liberatore and Schaerf 1998; Chopra et al. 2006; Konieczny and P´ rez 2011] e (same reliability). More generally, priorities

Journal

ACM Transactions on Computational Logic (TOCL)Association for Computing Machinery

Published: Dec 6, 2015

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