OU Portal
Log In
Welcome
Applicants
Z6_60GI02O0O8IDC0QEJUJ26TJDI4
>
Publ3 search
Error:
Javascript is disabled in this browser. This page requires Javascript. Modify your browser's settings to allow Javascript to execute. See your browser's documentation for specific instructions.
{}
Close
Publikační činnost
Probíhá načítání, čekejte prosím...
publicationId :
tempRecordId :
actionDispatchIndex :
navigationBranch :
pageMode :
tabSelected :
isRivValid :
Record type:
stať ve sborníku (D)
Home Department:
Katedra informatiky a počítačů (31400)
Title:
Derivation in the extended RDF model with Fuzzy logic
Citace
Žáček, M., Lukasová, A. a Volná, E. Derivation in the extended RDF model with Fuzzy logic.
In:
17th International Conference on Soft computing Mendel 2011: Mendel 2011 2011-06-15 Brno.
Brno: Brno Univerzity of Technology, 2011. Brno Univerzity of Technology, 2011. s. 125-132. ISBN 978-80-214-4302-0.
Subtitle
Publication year:
2011
Obor:
Informatika
Number of pages:
8
Page from:
125
Page to:
132
Form of publication:
Elektronická verze
ISBN code:
978-80-214-4302-0
ISSN code:
1803-3814
Proceedings title:
Mendel 2011
Proceedings:
Mezinárodní
Publisher name:
Brno Univerzity of Technology
Place of publishing:
Brno
Country of Publication:
Sborník vydaný v ČR
Název konference:
17th International Conference on Soft computing Mendel 2011
Místo konání konference:
Brno
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
000302647900021
EID:
2-s2.0-84904175049
Key words in English:
Semantic (associative) networks, RDF graph, RDF model, Fuzzy logic, Fuzzy RDF model.
Annotation in original language:
Both associative networks and RDF model (here we consider especially its graph version) belong to formal systems of knowledge representation based on concept-oriented paradigm. To treat properties of both of them as common properties of the systems is therefore natural. The article shows a possibility to use universal and existential quantified statements introduced prior to associative networks also within fuzzy RDF graphic system and to define a RDF formal system with extended syntax, semantic and fuzzy logic that can use inference rules of associative networks. We then also show how we may use fuzzy logic in solving example, a logical puzzle is presented.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/11:A120124B
Complementary Content
Deferred Modules
${title}
${badge}
${loading}
Deferred Modules