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

作　　者：HOU Jiajia LI Dongmei QIU Chengjing HAN Hui 

机构地区：[1]School of Information Science and Technology,Beijing Forestry University [2]School of Information,Renmin University of China [3]School of Computer Science and Information Technology,Northeast Normal University

出　　处：《Chinese Journal of Electronics》2016年第3期460-466,共7页电子学报（英文版）

基　　金：supported by the Fundamental Research Funds for the Central Universities(No.TD2014-02,No.YX2014-19)

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

关 键 词：Orchard pests and diseases Thesaurus Ontology Inconsistency detection Concept similarity Sentence similarity 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]