针对现有检索技术在民航应急资源信息检索中存在着高匹配、低精度,低匹配、无匹配等问题,提出一个基于领域本体的语义检索框架。给出了语义检索的流程,探讨了领域本体、语义相似度计算及检索结果排序等实现语义检索的关键技术,搭建了实验平台。实验表明语义检索在查全率、查准率方面的检索效果都有所提高,更加符合用户的需求。
Aiming at the problems of high matching, low precision, low matching and no matching that the existing retrieval technology has in information retrieval of the emergency resources of civil aviation airport, we propose a domain ontology-based semantic retrieval framework and present the process of the retrieval. The key technologies for implementing the semantic retrieval including the domain ontology, semantic similarity calculation and retrieval results sorting, etc. are discussed. Then, we build an experimental platform. Experiments show that the effect of semantic retrieval in aspects of recall rate and precision rate are all improved, it is in line with users needs more.