A Review on Key Issues of Knowledge Fusion in View of Big Data

Abstract

Abstract:

The paper reviews existing study on knowledge fusion against the backdrop of big data,summarizes research status, and points out future research direction. Through literature analysis, the paper presents the research status, framework, algorithm and application of traditional knowledge fusion,
concluding with new needs of knowledge fusion in the times of big data. The research shows that the framework would emphasize more the knowledge cleaning, presentation and service; in terms of algorithm,the difference between information and knowledge should be considered; as for application, application across fields should be paid attention to.

Key words:

Big data, Knowledge fusion, Fusion framework, Fusion algorithm

Tang Xiaobo, Zhu Juan. A Review on Key Issues of Knowledge Fusion in View of Big Data[J]. Libraly Journal, 2017, 36(7): 10-16.

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