A Fuzzy Ontology and SVM–Based Web Content Classification System

A Fuzzy Ontology and SVM–Based Web Content Classification System

The volume of adult content on the world wide web is increasing rapidly. This makes an automatic detection of adult content a more challenging task, when eliminating access to ill-suited websites. Most pornographic webpage-filtering systems are based on n-gram, naïve Bayes, K-nearest nei...

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Bibliographic Details
Main Authors: Farman Ali, Pervez Khan, Kashif Riaz, Daehan Kwak, Tamer Abuhmed, Daeyoung Park, Kyung Sup Kwak
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Data mining
semantic knowledge
fuzzy ontology
SVM
adult content identification
Online Access:https://ieeexplore.ieee.org/document/8094233/

Internet

https://ieeexplore.ieee.org/document/8094233/

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