大数据环境下的知识融合框架研究

Research on Framework of Knowledge Fusion under the Environment of Big Data

大数据环境对知识融合的知识源产生影响的同时,大数据技术的发展也为知识融合带来新的技术支持。知识融合的各个环节在应对大数据环境的过程中必然存在新变化,尤其是基于知识融合提供的知识服务需要更为精准化的融合结果。结合已有知识融合框架、系统以及算法等研究基础和大数据环境知识资源、技术方法的变革,设计大数据环境下以提供更为精准化知识服务为最终融合应用目标的知识融合框架,具体包含融合预处理、融合过程和融合服务三个关键部分。知识融合的知识源更加复杂、多样,知识处理越发倾向语义层面的加工,以知识服务为导向的应用更加精准化。大数据与知识融合的结合研究具有重要的现实意义。

Big data not only exert an effect on the resource of knowledge fusion, but also provide support through technology of big data. There must be new transformation of each process of knowledge fusion dealing with the changes of big data,and moreover,knowledge service need more accurate results of knowledge fusion. This paper aims to explore a general framework of knowledge fusion under the environment of big data with the purpose of providing more accurate knowledge service. The research designs the framework of knowledge fusion,including preprocessing,fusion process and services according to the existing research about big data and knowledge fusion. There comes to the conclusion that knowledge resources are becoming more complicated, semantic process is more commonly, and the fusion is more accurate when offering knowledge services on the basis of the discussion of the framework. The combination of big data and knowledge fusion has important practical significance.