Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6823
Title: Generating ontologies from relational data with fuzzy-syllogistic reasoning
Authors: Kumova, Bora İsmail
Kumova, Bora İsmail
Izmir Institute of Technology. Computer Engineering
Keywords: Fuzzy logic
Ontology learning
Relational database systems
Syllogistic reasoning
Issue Date: 2015
Publisher: Springer Verlag
Source: Kumova, B. İ. (2015). Generating ontologies from relational data with fuzzy-syllogistic reasoning. Communications in Computer and Information Science, 521, 21-32. doi:10.1007/978-3-319-18422-7_2
Abstract: Existing standards for crisp description logics facilitate information exchange between systems that reason with crisp ontologies. Applications with probabilistic or possibilistic extensions of ontologies and reasoners promise to capture more information, because they can deal with more uncertainties or vagueness of information. However, since there are no standards for either extension, information exchange between such applications is not generic. Fuzzy-syllogistic reasoning with the fuzzy-syllogistic system4S provides 2048 possible fuzzy inference schema for every possible triple concept relationship of an ontology. Since the inference schema are the result of all possible set-theoretic relationships between three sets with three out of 8 possible fuzzy-quantifiers, the whole set of 2048 possible fuzzy inferences can be used as one generic fuzzy reasoner for quantified ontologies. In that sense, a fuzzy syllogistic reasoner can be employed as a generic reasoner that combines possibilistic inferencing with probabilistic ontologies, thus facilitating knowledge exchange between ontology applications of different domains as well as information fusion over them.
URI: http://doi.org/10.1007/978-3-319-18422-7_2
http://hdl.handle.net/11147/6823
ISSN: 1865-0929
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
6823.pdfMakale205.81 kBAdobe PDFThumbnail
View/Open
Show full item record

CORE Recommender

SCOPUSTM   
Citations

4
checked on Jul 31, 2021

WEB OF SCIENCETM
Citations

4
checked on Jul 31, 2021

Page view(s)

18
checked on Aug 4, 2021

Download(s)

16
checked on Aug 4, 2021

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.