HYBRID (Virtual and in-Person)
July 4-7, Malaga, Spain
The 6th International Workshop on Information and Knowledge in the Internet of Things (IKIT 2022) in conjunction with the 22nd International Conference on Computational Science and Its Applications (ICCSA 2022) will be held on July 4 - 7, 2022 in collaboration with the University of Malaga, Spain.
Internet of Things (IoT) is currently one of the most challenging areas of the Internet, enabling communication and ubiquitous computing between global citizens, networked machines and physical objects, providing a promising vision of the future integrating the real world of knowledge agents and things with the virtual world of information. IoT is seen as a network of trillions of agents and machines that communicate with each other, being a profound technological revolution, which is the current reality and the future of computing and communications, supported by a dynamical technological evolution in many fields, from wireless sensors, wireless sensor networks, to nanotechnology. Due to its broad impact in many fields, it has rapidly gained global attention from academia, governments, industry and citizenship. This change in the network of agency profoundly modifies the landscape of human activity, particularly as regards knowledge acquisition and production, offering new possibilities but also challenges that need to be explored and assessed.
This workshop explores the information and knowledge in the IoT, in particular investigate data management and processing, information extraction, technology, knowledge management, knowledge sharing, knowledge co-creation, knowledge integration, and the development of new intelligent services available anytime, anywhere, by anyone and anything.
All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions, and citable DOI numbers.