Context-Awareness in the Internet of Things

Dear Colleagues,

The emerging integration of objects able to sense, reason and communicate into people's daily lives is enabling a new generation of services, promising to assist users in a number of tasks. In order to be effective, these services must be aware of the user’s context, including not only his/her position, but also the current activity, situation, mood, social context, task and goals, just to name a few. Luckily, objects connected to the Internet of Things (IoT) provide extensive low-level data that can be mined for capturing a fine-grained picture of the user’s context. Integrating and mining IoT data for context-awareness is a hot research topic, which involve challenging issues regarding artificial intelligence, knowledge representation and reasoning, big data analysis, security, trust, ethics, and privacy. The goal of this Special Issue is to collect high-quality research outcomes that may advance the state of the art about context-awareness in IoT. Original, high quality contributions that have not yet been published, submitted, or are not currently under review by other journals or peer-reviewed conferences are sought. Topics of interest include, but are not limited to, the following topics:

• Statistical, symbolic, and hybrid methods for context-awareness based on sensor data
• Recognition of activities, moods, and social context in IoT
• Big data analysis for context awareness
• IoT-centered methods, applications and middlewares for context-awareness
• Security, privacy, trust, and ethical issues in context-awareness

Assoc. Prof. Dr. Daniele Riboni
Guest Editor

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