Building intelligent applications for everyday use is the long-cherished aim of Artificial Intelligence (AI). With numerous devices deployed and used in day-to-day applications including mobile phones, tablets, wearable and other connected sensing and actuation devices, collectively referred to as the Internet of Things (IoT), there is an unprecedented opportunity to develop contextually intelligent applications with far-reaching societal implications. They can deliver fine-grained services in various areas such as healthcare, manufacturing, transportation and social good. These intelligent applications and services, however, could also pose privacy, security and trust issues and risks.The purpose of the workshop is to discuss how AI techniques can help consume data from IoT to build intelligent applications. The workshop aims to bring together academic researchers and industry practitioners who are interested in advancing the state-of-the-art not merely in their specific subfields of AI, but also in multidisciplinary areas in order to solve problems with business as well as societal impacts.
The workshop will cover a range of topics including, but not limited to the following:Semantic sensor (IoT) dataInformation extraction from real-world data streamsMachine Learning, knowledge-enabled and spatio-temporal processing applied IoT dataAI techniques for intelligent IoT data fusionContext-aware applications and servicesLinked open IoT data, repositories of semantic IoT dataSemantic IoT data managementChatbots using NLP and IoT dataReasoning with IoT data, including semantic, cognitive and perceptual computingEthical and privacy issues with IoT dataHuman computer interface (HCI) issues, data visualizationApplications in smart city, healthcare, transportation, energy, public safety, disaster coordination and other areas
02月02日
2018
会议日期
注册截止日期
留言