Study on food safety semantic retrieval system based on domain ontology
Yuehua Yang, Junping Du, Meiyu Liang
Abstract
Yuehua Yang, Junping Du, Meiyu Liang
Abstract
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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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.
Key concepts: Computer science, Ontology, Information retrieval, Ontology-based data integration, Semantic similarity, Upper ontology, Precision and recall, Semantic technology