This paper resolves the problems of lower recall factor and pertinency factor in traditional keywords-based retrieval system in the layer of information description by using Ontology technique. 论文通过Ontology技术在文档检索领域的应用,在信息表示的层次上解决了传统的基于关键词检索中存在的查全率和查准率不高的问题。
The choice of the search words has direct influence on the recall factor and pertinency ratio. 检索词的选择恰当与否直接影响到检索的查全率与查准率。
Effects of food recall system is the most important factor in the enterprise implementation of the food recall, from theory and the long-term development perspective, enterprise is the implementation of the main body of food recall. 影响食品召回制度的最重要因素就是企业实施食品召回的情况,从理论及长远的发展上来看,企业都是执行食品召回的主要主体。
It can guarantee the better recall factor and precision factor of the information retrieval system when scaling ontology-based semantic information retrieval technology. 引入基于本体的语义信息检索技术,能使信息检索系统在信息查准率和查全率上有更好的保证。