基于知识协同的大数据知识处理模型的设计

Design of Large Data Knowledge Processing Model Based on Collaborative Knowledge

针对大数据环境下信息过载问题,提出基于本体理论的知识表示,并设计了基于知识协同的知识处理模型。具体阐释了领域知识间的内在关系及协同作用机理,基于本体的知识表示,建立本体知识库,在知识库中,知识以有机的链式存储,为知识的协同发现和提取奠定了基础。最后通过实例,分析了该模型的有效性,解决了大数据领域存在的数据多而知识少的问题,为信息的知识融合提供了有意义的参考。

In viewing of information overload problems in the large data environment,this paper proposedknowledge processing model based on collaborative knowledge,It specifically explained the intrinsic rela-tionship between different kinds of domain knowledge and the synergy mechanism. Then it establishedOntology-based knowledge base according to the knowledge representation, in which the knowledge wasstored in organic ontology chains. With the direction of knowledge collaborative processing mechanism, itlaid a foundation for the knowledge discovery and extraction. At last, the validity of the model is provedthrough examples.The model solves the problems that data is more and knowledge is less,and provides ameaningful reference to the information knowledge fusion.