An innovative methodology for big data visualization in oceanographic domain
| Autor: | Antonino Galletta, Rachid El Ouahbi, Lorenzo Carnevale, Salma Allam, Massimo Villari, Moulay Ali Bekri |
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| Rok vydání: | 2018 |
| Předmět: |
IoT
Creative visualization Geolocation Computer science business.industry Emerging technologies media_common.quotation_subject Big data 020207 software engineering Context (language use) 02 engineering and technology Microservices Oceanography Data science Visualization Domain (software engineering) Acidification User experience design 0202 electrical engineering electronic engineering information engineering Big data visualization business media_common |
| Zdroj: | ICGDA |
| DOI: | 10.1145/3220228.3220238 |
| Popis: | Nowadays, thanks to new technologies, we are observing an explosion of data in different fields such as clinical, environmental and so on. In this context, a typical example of the well-known Big Data problem is represented by visualization. In this work, we propose an innovative platform for managing the oceanographic acquisitions. More specifically, we present two innovative visualization techniques: general overview and site specific observation. Experiments prove the goodness of the proposed system in terms both of performance and user experience. |
| Databáze: | OpenAIRE |
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