Content semantic filter based on Domain Ontology

Abstract

A methodology for content filtering based on ontology similarity is presented, which uses Domain Ontology to describe the characteristic of knowledge of a specific domain. By analyzing the context of the Word of Concern (WoC), the justifiability and accuracy of filter is improved. Firstly, a content ontology based on Domain Ontology is defined, including WoCs and their context constrain rules. Secondly, the concepts of WoC similarity and context similarity are given and the definition of similarity fuzzy set is proposed. Finally, a content filtering mechanism based on ontology similarity is designed to prove the feasibility of the methodology.