Earticle

초록

영어

Recently, for the collection and smooth management of big data, new value creation and efficient large-capacity data analysis technology by linking homogeneous and heterogeneous data platforms are required. In this paper, we designed a system that can easily link multiple data provided by homogeneous and heterogeneous platforms. The designed system uses REST-based Map API to construct a visualization environment, and we assume that it is a different DB by collecting and classifying public data from different institutions. We built our own server to connect and visualize different types of data through distance and address-based connections via the Haversine Formula, that is based on GPS coordinates by using image summary technology, heterogeneous data can be efficiently stored, analyzed, and visualized.

목차

Abstract
I. INTRODUCTION
II. LITERATURE REVIEW
III. PROPOSED METHOD
A. Data Collection
B. Integration Features Configuration
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

키워드

저자

• Min Je Kim [ Sejong University ]
• Chan Min Kwon [ Sejong University ]
• Su Min Lee [ Sejong University ]
• Haroon Umair [ Sejong University ]
• Khan Abbas [ Sejong University ]
• Mi Young Lee [ Sejong University ]
• Sung Wook Baik [ Sejong University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004