基于本体的林业领域语义查询扩展模型

传统信息检索模型仅考虑考虑关键词本身的匹配程度,在林业领域信息检索时得到的检索结果不全面或不准确.为了改善检索质量,提出了一种基于本体的林业领域语义查询扩展模型.该模型利用了本体的语义推理的能力和语义结构对关键词进行语义查询扩展,最终实现提高检索查全率和查准率的目的,是对传统基于关键词匹配的信息检索模型的语义补充.结果表明该模型在一定程度上改善了林业领域信息检索结果的查准率和查全率.

Modeling Semantic Query Expansion of the Foresty Domain Based on Ontology

The traditional information retrieval model only considers the matches of key words in the corpus, so it cannot recall more comprehensive and accurate results in the forestry domain. Aiming to solve the disadvantage above, the model of semantic query expansion based on ontology is presented for forestry domain. The semantic query expansion is modeled using the semantic reasoning and structure of ontology, and improves the recall and precise ratio in information retrieval finally. This model is a supplementary semantic function for the traditional information retrieval model. The experiment proves that this semantic query expansion model can increase the recall and precise ratio in information retrieval of forestry domain.