Content semantic filter based on Domain Ontology

C. Fan, Jie Song, Z. Wen, Yuexin Wu
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引用次数: 2

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.
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基于领域本体的内容语义过滤
提出了一种基于本体相似度的内容过滤方法,该方法利用领域本体来描述特定领域知识的特征。通过对关注词上下文的分析,提高了滤波器的合理性和准确性。首先,定义了基于领域本体的内容本体,包括woc及其上下文约束规则;其次,给出了WoC相似度和上下文相似度的概念,提出了相似度模糊集的定义;最后,设计了基于本体相似度的内容过滤机制,验证了该方法的可行性。
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