A Systematic Mapping with Bibliometric Analysis on Information Systems Using Ontology and Fuzzy Logic
The ontology-based information systems (IS) development is beneficial for analyzing, conceptual modeling, designing, and re-engineering complex IS to be semantically enriched and suitable for sophisticated reasoning on the IS content. On the other hand, fuzzy theory employment to handle uncertainty...
Main Authors: | Diana Kalibatiene, Jolanta Miliauskaitė |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/7/3003 |
Similar Items
-
Algorithms for Instance Retrieval and Realization in Fuzzy Ontologies
by: Ignacio Huitzil, et al.
Published: (2020-01-01) -
Fuzzy Ontology Mining and Semantic Information Granulation for Effective Information Retrieval Decision Making
by: Raymond Y.K. Lau, et al.
Published: (2011-02-01) -
Knowledge Representation Using Type-2 Fuzzy Rough Ontologies in Ontology Web Language
by: D. Nilavu, et al.
Published: (2015-03-01) -
A formal model for fuzzy ontologies.
Published: (2006) -
A fuzzy ontology framework in information retrieval using semantic query expansion
by: Shivani Jain, et al.
Published: (2021-04-01)