【摘要】 本体的自动抽取问题是电子政务信息集成的核心问题之一。在本体的自动抽取过程中,FCA方法用于自动分析概念之间的关系,但它对概念间的同义词关系分析不够。基于这个原因,对FCA方法进行了优化,提出了SFCA算法。算法根据属性在概念中的重要性对属性赋权值,利用属性的权值计算两个概念的相似度,最终确定两个概念是否是同义词关系。通过对算法的实验结果的分析验证其是有效的,并给出了正确性证明。更多还原

【Abstract】 Ontology’s automatic extraction is a core problem of information integration in electronic government affair.In the process of ontology’s automatic extraction,FCA method is used in analyzing relationships between concepts automatically.But this method’s ability is insufficient in the analysis of the synonym relationship.This paper optimizes the FCA method and brings forward a new algorithm-SFCA.SFCA sets the weight for the attribute based on the importance of it.It computes the similarity degree using the weights and judges whether the concepts are synonymous.Through the analysis of the experiment’s result,the algorithm is validated to be effective.And its correctness proof is proved.更多还原