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.
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CITATION STYLE
Yi, S., Kim, S. H., Park, J., Hwang, T., Lee, J., & Lee, Y. (2019). I Know Where to Find What You Want: Semantic Data Map from Silos. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11762 LNCS, pp. 186–190). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-32327-1_37
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