LearningCity：智慧城市的知识生成
LearningCity: Knowledge Generation for Smart Cities
摘要：
尽管我们在智慧城市设施和系统方面已经达到了新的水平，但到目前为止，我们的努力都集中在为智慧城市服务消费者提供多样化的数据来源上，而忽略了提供简化和充分利用这些数据的方法。在这种情况下，为智慧城市带来附加值的第一步是通过异常检测和数据注释在智慧城市中创造知识，并以自动化和众包方式提供支持。我们在这里介绍LearningCity，我们的解决方案已经在桑坦德现有的智慧城市部署中得到验证，以及OrganiCity实验即服务生态系统。我们讨论了主要挑战以及典型用例，并报告了我们的设计和实现，以及将大型智慧城市数据集与机器学习相结合所获得的一些初步结果。
英文摘要：
Although we have reached new levels in smart city installations and systems, efforts so far have focused on providing diverse sources of data to smart city services consumers while neglecting to provide ways to simplify making good use of them. In this context, one first step that will bring added value to smart cities is knowledge creation in smart cities through anomaly detection and data annotation, supported in both an automated and a crowdsourced manner. We present here LearningCity, our solution that has been validated over an existing smart city deployment in Santander, and the OrganiCity experimentation-as-a-service ecosystem. We discuss key challenges along with characteristic use cases, and report on our design and implementation, together with some preliminary results derived from combining large smart city datasets with machine learning.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
