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Research on the Ontology-Based Complex Event Processing Engine of RFID Technology for Agricultural Products

机译:基于本体的农产品RFID技术复杂事件处理引擎的研究

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In order to improve the discriminating capacity of the RFID tags for agricultural products traceability data, a new handling engine ORFID-CEP for complex events of agricultural products RFID Tag based on ontology, is proposed by introducing the event ontology model into the field of the agricultural products quality safety administration. In the new engine, the ontology model of RFID event, semantic space and the rules of the event ontology are defined. In the RFID practical application instances, the number of the fringe real-time events is so large that those methods used in current systems can not handle them in time. Thus, many significant events are lost. Aiming to overcome the problem, the transform system of work flow for the complex event ontology and the optimized strategies for event exploration, event operation and restrictive conditions of event appearance are established. Experimental results show that the new engine can mine more complex events with semantic information than the conventional Esper-CEP engine. Additionally, the new engine is steadier than the Esper-CEP engine. With increasing number of the events, the growth rate of the new engine for mining complex events raises more quickly than Esper-CEP, which indicates that the engine has the good ability of information process.
机译:为了提高RFID标签对农产品溯源数据的识别能力,通过将事件本体模型引入农产品领域,提出了一种新的基于本体的农产品RFID事件处理引擎ORFID-CEP。产品质量安全监督管理总局。在新引擎中,定义了RFID事件的本体模型,语义空间和事件本体的规则。在RFID实际应用实例中,边缘实时事件的数量如此之大,以至于当前系统中使用的那些方法无法及时处理它们。因此,许多重大事件丢失了。为了解决该问题,建立了复杂事件本体的工作流程转换系统,并建立了事件探索,事件操作和事件出现限制条件的优化策略。实验结果表明,与传统的Esper-CEP引擎相比,新引擎可以利用语义信息挖掘更复杂的事件。此外,新引擎比Esper-CEP引擎更稳定。随着事件数量的增加,用于挖掘复杂事件的新引擎的增长速度比Esper-CEP更快,这表明该引擎具有良好的信息处理能力。

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