(Enter summary)
Abstract: We introduce an abductive method for coherent composition of distributed data. Our approach is based on an abductive inference procedure that is applied on a meta-theory that relates different, possibly inconsistent, input databases. Repairs of the integrated data are computed, resulting in a consistent output database that satisfies the meta-theory. Our framework is based on the A-system, which is an abductive system that implements SLDNFA-resolution. The outcome is a robust application that,... (Update)
Context of citations to this paper: More
...or retracted from it in order to keep the data consistent. A corresponding application was introduced and described in greater details in [7]. Here we review it in order to keep this paper self contained, and putting our results in the right context. We then show that the...
...that its complement, l, is not provable. Other coherent formalisms for managing inconsistent information are considered, e.g. in [2 4,7,13,18]. Belief revision The need to alter the set of conclusions according to an input that is frequently modi ed is not an unusual...
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BibTeX entry: (Update)
O.Arieli, B.Van Nuelen, M.Denecker, M.Bruynooghe. Coherent composition of distributed knowledge-bases through abduction. Proc. LPAR'01 , LNCS 2250, Springer, pp.620-635, 2001. http://citeseer.ist.psu.edu/arieli01coherent.html More
@article{ arieli01coherent,
author = "Ofer Arieli and Bert Van Nuffelen and Marc Denecker and Maurice Bruynooghe",
title = "Coherent Composition of Distributed Knowledge-Bases through Abduction",
journal = "Lecture Notes in Computer Science",
volume = "2250",
pages = "624+",
year = "2001",
url = "citeseer.ist.psu.edu/arieli01coherent.html" }
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