Frontiers of Data and Computing ›› 2024, Vol. 6 ›› Issue (5): 159-168.

CSTR: 32002.14.jfdc.CN10-1649/TP.2024.05.015

doi: 10.11871/jfdc.issn.2096-742X.2024.05.015

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Research on Multi-Source Heterogeneous Data Access Technology and Its Application Framework in Vertical Field

LIU Baoqi(),XUE Fei*(),MENG Shengwei,ZHANG Chenglu   

  1. Military Science Information Research Center, Academy of Military Science, Beijing 100142, China
  • Received:2023-10-09 Online:2024-10-20 Published:2024-10-21

Abstract:

[Objective] The breakthrough of multi-source heterogeneous data access technology is particularly important for effectively solving the severe problem of "data island" in the vertical field, achieving global, authenticity, real-time guarantee of data acquisition, and data fusion applications. [Methods] Through literature analysis, current researches on multi-source heterogeneous data access technologies of ETL based, semantic ontology based, robot process automation based and cloud side integration resource reflection mechanism based are summarized. The characteristics of various technologies are analyzed. [Results] Typical frameworks for the application of four multi-source heterogeneous data access technologies in the vertical field are explored and designed, and four technical features are summarized and compared, in order to provide valuable demonstration and reference for relevant practical applications. [Conclusions] A theoretical basis for the integration and interoperability practices of big data in the vertical field is provided, and how to fully utilize key technical methods to better solve the technical limitations of real-time data access will be the focus of future research.

Key words: multi-source heterogeneous data, data access, interoperability technology