Living Lab Bamberg: an infrastructure to explore smart city research challenges in the wild
| Autor: | Brent Lagesse, Aboubakr Benabbas, Daniela Nicklas, Golnaz Elmamooz, Ute Schmid |
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| Rok vydání: | 2017 |
| Předmět: |
Ubiquitous sensing
Computer science Research areas 02 engineering and technology Data science Data modeling World Wide Web Open data Living lab Artificial Intelligence Order (exchange) 020204 information systems Smart city Data quality 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing |
| Zdroj: | KI - Künstliche Intelligenz. 31:265-271 |
| ISSN: | 1610-1987 0933-1875 |
| DOI: | 10.1007/s13218-017-0497-5 |
| Popis: | The growing number of smart technologies for ubiquitous sensing and interaction of computer systems and the physical environment offer many opportunities for more efficient usage of energy and other resources and to improve the quality of life among communities. There are numerous problems that must be solved first. Research areas such as security, privacy, data quality, and data modeling must be addressed. In order to move forward to a better world, we have established the living lab Bamberg where we will address these research problems and provide open data and interfaces to other researchers to enable collaboration and extensive testing of smart city research and applications. As we continue to use the living lab Bamberg to improve state of the art research in smart cities, we believe we will see smart city technology adopted more commonly and drastically improve the lives of people living in those cities. |
| Databáze: | OpenAIRE |
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