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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Communication dans un congrès
Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-420 (Part II), pp.232-238, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54341-8_24〉
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Xinyu Liu, Lifen Hou, Yonghao Wang. Semantic-Based Reasoning for Vegetable Supply Chain Knowledge Retrieval. Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-420 (Part II), pp.232-238, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54341-8_24〉. 〈hal-01220832〉

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