大数据时代基于本体的农业信息融合方法研究

Research on Ontology-based Agricultural Information Fusion Method in the Era of Big Data

从理论、技术、方法及应用的角度分析了大数据时代基于本体的农业信息融合问题.通过对信息融合及本体的相关方法与技术进行归纳总结,结合元数据、概念格及信息融合技术讨论了农业本体建模与不同时空农业基础数据融合的实现方法,通过建立统一的、标准化、语义化的农业基础信息本体库,可有效地解决由于农业物联网的各种感应器终端收集到的时空数据异构问题,通过建立数据之间的语义关系,挖掘出隐藏在数据之中的本质、结构和规律,可为实现精准农业、智慧农业、智能预警、精确控制等提供基础方法与技术支持.

This paper analyzed the problems of ontology-based agricultural information fusion in the era of big data from the perspective of theories, technologies, methods and applications. By summarizing technologies and methods of information fusion and ontology and combining with metadata, information fusion technologies, concept lattice, we discussed the implementation methods of agricultural ontology modeling and different space-time data fusion in agriculture.Through a standardized semantic agriculture information ontology,we can effectively solve the problem of space-time data heterogeneity which collected from varieties of sensors in the agricultural Internet of Things. Through establishing semantic relationships among data and digging out the essences hidden in the data, we can provide basic methods and technics to realize precision agriculture, wisdom agriculture, smart alerts and precision control.