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.
S. Yi, S.-H. Kim and J. Park—These authors contributed equally.
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Yi, S., Kim, SH., Park, J., Hwang, T., Lee, J., Lee, Y. (2019). I Know Where to Find What You Want: Semantic Data Map from Silos. In: Hitzler, P., et al. The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Lecture Notes in Computer Science(), vol 11762. Springer, Cham. https://doi.org/10.1007/978-3-030-32327-1_37
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DOI: https://doi.org/10.1007/978-3-030-32327-1_37
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