MESCO:一种支持肉品供应链追溯体系的本体

MESCO (MEat Supply Chain Ontology): An ontology for supporting traceability in the meat supply chain

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中文摘要:本文描述了一种MEat 供应链本体(即MESCO),该本体可以为肉品整个供应链的追溯管理提供支撑。MESCO能够将肉品追溯体系中所有相关的信息整合成一个简单的本体,从而能实现不同系统的相互操作、实现供应链中不同环节的异种数据库的融合。应用MESCO的主要优点是能够在食品安全性疫病爆发时获取到重要的基础数据,能够处理食品安全事件中关键棘手问题。
外文摘要:Traceability plays an important role in the food industry because it is directly connected with food quality and safety. Safety, in fact, can only be guaranteed by following food products along the entire supply chain. In the last years, a series of food safety scandals have invested the meat sector, highlighting the lack of common standards for information encoding and management and the inability to link food products with the elements involved in their transformation process. This paper describes the MEat Supply Chain Ontology (MESCO), an ontology developed for supporting the management of meat traceability along the whole supply chain. In particular, in this paper the authors instantiate MESCO to take the problem of meat traceability from the farmer to the final consumer. The article describes the main features of MESCO, illustrating the different steps followed for its development and some example of application. MESCO has been validated and interrogated through the formulation of several queries expressed in Description Logic (DL), executed using the Pellet reasoner, to deal with different scenarios and problems of traceability. The results show that MESCO is able to represent all the knowledge and information related to the meat traceability domain into a single ontology, enabling interoperability among different systems and allowing for integrating the heterogeneous databases adopted by each actor involved in the supply chain. One of the main advantages in using MESCO is the facility in obtaining essential data, fundamental in case of food outbreak disease, addressing the key issues that makes the job of food safety agents frustrating.
外文关键词:Meat supply chain; Traceability; Ontology; Web ontology language; Description logic
作者: Pizzuti, T; Mirabelli, G; Grasso, G; Paldino, G
作者单位:卡拉布里亚大学
期刊名称:FOOD CONTROL
期刊影响因子:3.388
出版年份:2017
出版刊次:2
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  1. 编译服务:农产品质量安全
  2. 编译者:程金花
  3. 编译时间:2017-01-25