2011Unpublished venueRequires access

Study on food safety semantic retrieval system based on domain ontology

Yuehua Yang, Junping Du, Meiyu Liang

Open publisher page 7 citations

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.

About this research paper

What this paper is about

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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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Computer science, Ontology, Information retrieval, Ontology-based data integration, Semantic similarity, Upper ontology, Precision and recall, Semantic technology

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