分析传统本体映射中名称策略与结构策略的主要不足.针对前者提出一种新的基于WordNet名称策略。该策略实现名称核心词汇的WordNet定位用以消除词义模糊性,从而提高词相似度计算的精确度,并在词相似度合并中采用C—C原则,改善传统词相似度合并的盲目性;针对后者,提出基于概念信息量的相似度传播算法,通过本体的结构信息获取概念信息量,提高结构策略的可信度.实验结果显示,改进后的算法在保证查全率的同时有效的提高了查准率.
This paper analyzes the main drawbacks of traditional name-based and structure-based strategies. To solve the problems of name-based strategies, a new solution based on WordNet is proposed. This solution maps core words of a concept to the WordNet to eliminate word ambiguity, using this approach will improve the accuracy of similarity calculation between words, and a C-C principle is adopted to solve the blindness problem which usually exists when combining words similarity values. To solve the problems of traditional structure-based strategies, a new algorithm of similarity propagation is proposed, which is based on the information content of concept that is obtained from the structure information of ontology, and it will improve the credibility of structure strategy. Experiment results show that this algorithm efficiently improves the precision while maintaining recall.