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

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Federated Conference on Computer Science and Information Systems

ISBN

978-1-4577-0041-5

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

63-68

Název nakladatele

IEEE Computer Society Press

Místo vydání

USA

Místo konání akce

Szczecin, Poland

Datum konání akce

18. 9. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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