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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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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
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e-ISSN
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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
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