I Know Where to Find What You Want: Semantic Data Map from Silos
| Autor: | Taeho Hwang, Soo-Hyung Kim, Lee Jaehun, Sungmin Yi, Yunsu Lee, Jungho Park |
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| Rok vydání: | 2019 |
| Předmět: |
Information retrieval
Computer science 02 engineering and technology computer.file_format Semantic data model computer.software_genre Data structure 020204 information systems 0202 electrical engineering electronic engineering information engineering Graph (abstract data type) SPARQL 020201 artificial intelligence & image processing computer Data integration |
| Zdroj: | The Semantic Web: ESWC 2019 Satellite Events ISBN: 9783030323264 ESWC (Satellite Events) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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