Journal on Communications ›› 2015, Vol. 36 ›› Issue (12): 77-88.doi: 10.11959/j.issn.1000-436x.2015316

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Exploratory search on big data

Xiao-yong DU1,2,Jun CHEN1,2,Yue-guo CHEN1,2   

  1. 1 MOE Key Laboratory of Data Engineering and Knowledge Engineering,Renmin University of China,Beijing 100872,China
    2 School of Information,Renmin University of China,Beijing 100872,China
  • Online:2015-12-25 Published:2017-07-17
  • Supported by:
    The National Basic Research Program of China (973 Program);The National Natural Science Foundation of China

Abstract:

Exploratory search is a new approach for discovering the value of big data,compared with data serving and data analysis.Data serving emphasizes to meet users' information need at the micro-level,and data analysis emphasizes to discover insights among data at the macro-level.However,exploratory search is a way to support user to freely swap between micro-level to macro-level and interactively explore the value of data as well.Firstly,approaches for discovering the value of big data were discussed.Secondly,the definition,model and characteristics of exploratory search were illustrated.Thirdly,the architecture of exploratory search systems was designed,and a review of the challenges and techniques of each component of the architecture were given.Finally,preliminary results of exploratory search in RDF knowledge bases were introduced.

Key words: big data, knowledge base, exploratory search, data exploration

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