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An inference strategy for knowledge units

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F17%3A76410" target="_blank" >RIV/60460709:41110/17:76410 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    An inference strategy for knowledge units

  • Original language description

    Inference algorithm is an integral part of any expert system based on and working with procedural knowledge such as production rules. In general, also the production rules containing the compound statements in an antecedent of a consequent part is well known and supported with knowledge or expert systems. On the other hand, if a production rule is of an advanced internal structure (is transformed into a knowledge unit), standard inference algorithms (e.g. modus ponens or modus tollens) could provide insufficient results. The aim of this paper is to suggest a modification of the inference algorithms to be appropriate for working with knowledge units. The formal notification of the algorithm is accompanied with a practical example in the domain of Enterprise Resource Planning (ERP) system used for the support of a particular business process.

  • 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

    S - Specificky vyzkum na vysokych skolach

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

    8th International Conference on Information and Communication Technologies in Agriculture, Food and Environment, HAICTA 2017

  • ISBN

  • ISSN

    1613-0073

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    304-314

  • Publisher name

    CEUR-WS

  • Place of publication

    Chania, Crete Island; Greece

  • Event location

    Chania, Crete Island; Greece

  • Event date

    Sep 27, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article