15 research outputs found

    Data Credence in IoT: Vision and Challenges

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    As the Internet of Things permeates every aspect of human life, assessing the credence or integrity of the data generated by "things" becomes a central exercise for making decisions or in auditing events. In this paper, we present a vision of this exercise that includes the notion of data credence, assessing data credence in an efficient manner, and the use of technologies that are on the horizon for the very large scale Internet of Things

    Data Credence in IoR: Vision and Challenges

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    As the Internet of Things permeates every aspect of human life, assessing the credence or integrity of the data generated by "things" becomes a central exercise for making decisions or in auditing events. In this paper, we present a vision of this exercise that includes the notion of data credence, assessing data credence in an efficient manner, and the use of technologies that are on the horizon for the very large scale Internet of Things

    Coherent Integration of Databases by Abductive Logic Programming

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    We introduce an abductive method for a coherent integration of independent data-sources. The idea is to compute a list of data-facts that should be inserted to the amalgamated database or retracted from it in order to restore its consistency. This method is implemented by an abductive solver, called Asystem, that applies SLDNFA-resolution on a meta-theory that relates different, possibly contradicting, input databases. We also give a pure model-theoretic analysis of the possible ways to `recover' consistent data from an inconsistent database in terms of those models of the database that exhibit as minimal inconsistent information as reasonably possible. This allows us to characterize the `recovered databases' in terms of the `preferred' (i.e., most consistent) models of the theory. The outcome is an abductive-based application that is sound and complete with respect to a corresponding model-based, preferential semantics, and -- to the best of our knowledge -- is more expressive (thus more general) than any other implementation of coherent integration of databases

    Paraconsistent logic and query answering in inconsistent databases

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    This paper concerns the paraconsistent logic LPQ⊃,F^{\supset,\mathsf{F}} and an application of it in the area of relational database theory. The notions of a relational database, a query applicable to a relational database, and a consistent answer to a query with respect to a possibly inconsistent relational database are considered from the perspective of this logic. This perspective enables among other things the definition of a consistent answer to a query with respect to a possibly inconsistent database without resort to database repairs. In a previous paper, LPQ⊃,F^{\supset,\mathsf{F}} is presented with a sequent-style natural deduction proof system. In this paper, a sequent calculus proof system is presented because it is common to use a sequent calculus proof system as the basis of proof search procedures and such procedures may form the core of algorithms for computing consistent answers to queries.Comment: 21 pages; revision of v4, some inaccuracies removed and material streamlined at several place

    A conventional expansion of first-order Belnap-Dunn logic

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    This paper concerns an expansion of first-order Belnap-Dunn logic named BD⊃,F\mathrm{BD}^{\supset,\mathsf{F}}. Its connectives and quantifiers are all familiar from classical logic and its logical consequence relation is closely connected to the one of classical logic. Results that convey this close connection are established. Classical laws of logical equivalence are used to distinguish the four-valued logic BD⊃,F\mathrm{BD}^{\supset,\mathsf{F}} from all other four-valued logics with the same connectives and quantifiers whose logical consequence relation is as closely connected to the logical consequence relation of classical logic. It is shown that several interesting non-classical connectives added to Belnap-Dunn logic in its studied expansions are definable in BD⊃,F\mathrm{BD}^{\supset,\mathsf{F}}. It is also established that BD⊃,F\mathrm{BD}^{\supset,\mathsf{F}} is both paraconsistent and paracomplete. A sequent calculus proof system that is sound and complete with respect to the logical consequence relation of BD⊃,F\mathrm{BD}^{\supset,\mathsf{F}} is presented.Comment: 28 pages, revision of version v2 with adaptation of Appendix B to terminology and notations of arXiv:2303.0526
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