SWEET 2022

Despite the rapidly rising interest in pervasive computing technologies and the diffusion of Web of Things components and platforms, current proposals appear as not capillary extensible, particularly due to their limited interoperability. Over-engineered architectures and application-specific tools are prevalent, making development of flexible solutions and services quite difficult. Artificial Intelligence (AI) technologies have the potential to improve the state of the art, by fostering autonomic capabilities of intelligent objects able to manipulate information resources enriched with explicit semantics. Nevertheless, technical challenges must be faced on: AI paradigms should be revised and adapted to very resource-constrained devices and ubiquitous computing environments.

The first edition of the SWEET International Workshop will discuss about a realistic penetration of AI techniques and technologies in the Web of Things. Innovative models, architectures, algorithms and applications will be presented, as well as strategies for optimizing performance and scalability.

According to the ICWE aims and goals, the main research issues related to the workshop topics can be summarized referring to the following problems:

• How can we integrate the Web of Things with Semantic Web technologies and tools?
• How can we use ontologies and semantic annotations to enhance real world pervasive devices, applications and services?
• How can we exploit reasoning and planning in Web of Things scenarios?
• How can we integrate machine learning efficiently in pervasive large-scale scenarios with high volumes of data?
• What IoT technologies are able to support the Semantic Web of Everything evolution?

The SWEET Workshop invites researchers, engineers and developers to present their works in the field of Artificial Intelligence in the Web of Everything and pervasive computing scenarios. Papers may deal with models, methods, technologies, case studies and practical experiences. Topics of interest to this workshop include, but are not limited to:

Languages, methodologies and tools for representing and managing semantic annotations in ubiquitous and pervasive scenarios

• AI-based information storage, management, discovery, integration and exploitation in the WoT
• Reasoning and planning in pervasive and unpredictable scenarios
• Semantic-based Web of Things infrastructures, protocols, applications and services
• Semantic-enhanced Web of physical objects and devices
• Wireless semantic sensor and actor networks
• Opportunistic paradigms and algorithms for matchmaking and negotiation
• Intelligent adaptive user interaction in pervasive computing
• Managing pervasive data and sensor data streams
• Decentralized, adaptive and collaborative pervasive systems
• Efficient, scalable, distributed machine learning in wireless sensor networks and ad-hoc object networks
• Intelligent Big Data architectures and solutions for pervasive scenarios
• Prototypes and tools for the integration of AI technologies in the WoT
• Practical and user-oriented issues and experiences of developing AI-based pervasive systems and applications