Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies.
Olaide Nathaniel OyeladeAbsalom E. EzugwuSunday A. AdewuyiPublished in: Neural Comput. Appl. (2022)
Keyphrases
- breast cancer
- knowledge representation
- knowledge base
- semantic web
- early detection
- ontology reasoning
- owl dl
- fuzzy ontology
- logistic regression
- breast cancer diagnosis
- fuzzy logic
- reasoning services
- web ontology language
- diagnosis of breast cancer
- computer aided diagnosis
- survival analysis
- ontology languages
- semantic web technologies
- description logics
- fuzzy sets
- owl ontologies
- benign and malignant
- vague concepts
- ontological reasoning
- computer aided detection
- bladder cancer
- digital mammography
- domain specific
- breast cancer patients
- rough set theory
- naive bayes
- cancer datasets
- data mining and statistical