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I Know Where to Find What You Want: Semantic Data Map from Silos

  • Sungmin YiEmail author
  • Soo-Hyung KimEmail author
  • Jungho ParkEmail author
  • Taeho Hwang
  • Jaehun Lee
  • Yunsu Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11762)

Abstract

Data-driven analysis is critically important for creating new insights and values; however, data silos prevent a full utilization of existing data. To overcome this issue, we propose Semantic Data MAP (SD-MAP). SD-MAP utilizes a virtual graph and conceptual groups to bypass a physical integration of databases while allowing users to access data using intuitive queries. In order to show our system’s effectiveness, we introduce a plausible scenario with a data structure from real world. A demonstration video of SD-MAP is available at: https://youtu.be/i7U_8763Ogk.

Keywords

Virtual graph Data integration Silo effect Semantic Data Map Intuitive queries SPARQL 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Samsung Research, Samsung ElectronicsSeoulSouth Korea

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