带约束本体语义扩展的信息过滤算法

Mechanism of ontology semantic extension with constraints for information filtering

提出一种基于本体的信息过滤方法。该方法通过本体实现形式化语义描述,并对原始输入条件进行带约束规则的本体语义扩展。进而为了实现语义匹配,给出了信息向量语义描述及权重计算方法。最终,实现基于语义相似度计算的信息过滤。实验证明,该方法是有效的。

An ontology based information filtering method was proposed in this paper.This approach described formal semantics through ontology so that user＇s original input query terms could be converted into ontology semantic extension formats with constraint rules.Furthermore,semantic vector definition of information and its right computation method were presented in order to achieve the semantic matching between user＇s requirements and information.Finally,the semantic similarity computation based information filtering was addressed.The experimental results show that the proposed information filtering algorithm is effective.