基于领域本体的食品安全语义检索系统研究

Yuehua Yang, Junping Du, M. Liang
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引用次数: 7

摘要

从领域本体构建、基于本体的概念相似度计算和语义查询扩展等方面研究了基于本体的信息检索系统的相关技术;建立了食品安全领域本体和基于本体的概念相似度计算模型,提出了一种新的基于概念相似度计算的语义查询扩展方法;设计并实现了食品安全语义检索系统。实验表明,该食品安全语义检索系统在查全率和查准率上均优于基于关键词的检索系统,实现了一定的智能检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on food safety semantic retrieval system based on domain ontology
From aspects of domain ontology construction, concept similarity computation based on ontology and semantic query expansion study the related technologies of information retrieval system based on ontology; establish food safety domain ontology and ontology-based concept similarity computation model, put forward a new semantic query expansion method based on concept similarity computation; design and implement food safety semantic retrieval system. The experiments show that this food safety semantic retrieval system is superior to the retrieval system based on keywords both in the recall ratio and the precision, and realize certain intelligent retrieval.
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