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Detecting Inconsistencies in Large First-Order Knowledge Bases

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F17%3A00318996" target="_blank" >RIV/68407700:21730/17:00318996 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-63046-5_19" target="_blank" >http://dx.doi.org/10.1007/978-3-319-63046-5_19</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-63046-5_19" target="_blank" >10.1007/978-3-319-63046-5_19</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detecting Inconsistencies in Large First-Order Knowledge Bases

  • Original language description

    Large formalizations carry the risk of inconsistency, and hence may lead to instances of spurious reasoning. This paper describes a new approach and tool that automatically probes large first-order axiomatizations for inconsistency, by selecting subsets of the axioms centered on certain function and predicate symbols, and handling the subsets to a first-order theorem prover to test for unsatisfiability. The tool has been applied to several large axiomatizations, inconsistencies have been found, inconsistent cores extracted, and semi-automatic analysis of the inconsistent cores has helped to pinpoint the axioms that appear to be the underlying cause of inconsistency.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    CADE 26 - 26th International Conference on Automated Deduction

  • ISBN

    978-3-319-63045-8

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    16

  • Pages from-to

    310-325

  • Publisher name

    Springer

  • Place of publication

    Basel

  • Event location

    Gothenburg

  • Event date

    Aug 6, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000437512300019