A Semantic Retrieval Model Based on Domain Ontology of Orchard Disease and Pests

Abstract

Ontology-based semantic retrieval can im- prove the efficiency of information retrieval. This paper proposes a semantic retrieval model based on domain on- tology of orchard disease and pests. According to Forestry Thesaurus, we semi-automatically construct a domain on- tology and repair ontology inconsistency to ensure the ac- curacy and uniqueness of the domain knowledge. A concept similarity algorithm is proposed and applied to calculate sentence similarity. We present a synthetic sentence simi- larity algorithm, which is a combination of the traditional sentence similarity algorithm and the weighted sentence similarity algorithm. Compared with other related meth- ods through experiments, our retrieval model has higher accuracy in semantic retrieval.