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Knowledge patterns for conversion of sentences in natural language into RDF graph language

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F11%3AA15012CU" target="_blank" >RIV/61988987:17310/11:A15012CU - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Knowledge patterns for conversion of sentences in natural language into RDF graph language

  • Original language description

    This paper describes the knowledge patterns for the conversion of sentences in natural language into RDF graph language. While creating knowledge base in RDF graph language from sentences expressed in natural language, one must convert words from sentences to nodes and arcs, in RDF graphs. For this conversion, it is important to know which members of a sentence represent particular words. Knowledge patterns are proposed as a tool for conversion of sentences in this paper. In order to capture knowledge patters one can use extended RDF graph language. For the representation of knowledge patterns, further extension of this language is propsed. The paper contains four examples of knowledge patterns and their use.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the Federated Conference on Computer Science and Information Systems

  • ISBN

    978-1-4577-0041-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    63-68

  • Publisher name

    IEEE Computer Society Press

  • Place of publication

    USA

  • Event location

    Szczecin, Poland

  • Event date

    Sep 18, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article