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Conference Papers Year : 2014

Semantic-Based Reasoning for Vegetable Supply Chain Knowledge Retrieval

Abstract

Aiming at problems such as backward management, low informationization level etc. in China vegetable supply chain management, ontology theory is introduced. Ontology model of vegetable supply chain knowledge retrieval is constructed firstly, and then the ontology model is formalized by RDF(S) in order to make it can be identified by computer. After confirming inference axiom rules, the inference model of vegetable supply chain knowledge retrieval is created. Finally, the validity of the inference model is tested by the experiment.
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hal-01220832 , version 1 (27-10-2015)

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Xinyu Liu, Lifen Hou, Yonghao Wang. Semantic-Based Reasoning for Vegetable Supply Chain Knowledge Retrieval. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. pp.232-238, ⟨10.1007/978-3-642-54341-8_24⟩. ⟨hal-01220832⟩
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