Open AccessA Semantic Retrieval Model Based on Domain Ontology of Orchard Disease and Pests
Author(s) -
Hou Jiajia,
Li Dongmei,
Qiu Chengjing,
Han Hui
Publication year - 2016
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2016.05.011
Subject(s) - computer science , ontology , information retrieval , domain (mathematical analysis) , orchard , mathematics , biology , ecology , mathematical analysis , philosophy , epistemology
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.