期刊
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
卷 22, 期 3, 页码 -出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3527241
关键词
Internet-of-things; semantic interoperability; open APIs; privacy
资金
- DARPA [FA8750-16-2-0021]
- NSF [1527536, 1545071, 1952247, 2008993, 2032525, 2133391]
- Direct For Computer & Info Scie & Enginr [2008993, 2032525] Funding Source: National Science Foundation
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [2133391] Funding Source: National Science Foundation
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1952247] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems [2032525, 2008993] Funding Source: National Science Foundation
Smart space administration and application development face challenges due to the semantic gap between user requirements and IoT device capabilities. The SEMIOTIC ecosystem provides a holistic approach to IoT smart spaces, enabling application development, space management, and service provision. Using a centralized repository and the SEMIOTIC system deployed in each smart space, developers can advertise their applications and interact with them to provide required information, improving reusability and bridging the semantic gap.
Smart space administration and application development is challenging in part due to the semantic gap that exists between the high-level requirements of users and the low-level capabilities of IoT devices. The stake-holders in a smart space are required to deal with communicating with specific IoT devices, capturing data, processing it, and abstracting it out to generate useful inferences. Additionally, this makes reusability of smart space applications difficult, since they are developed for specific sensor deployments. In this article, we present a holistic approach to IoT smart spaces, the SEMIOTIC ecosystem, to facilitate application development, space management, and service provision to its inhabitants. The ecosystem is based on a centralized repository, where developers can advertise their space-agnostic applications, and a SEMIOTIC system deployed in each smart space that interacts with those applications to provide them with the required information. SEMIOTIC applications are developed using a metamodel that defines high-level concepts abstracted from the smart space about the space itself and the people within it. Application requirements can be expressed then in terms of user-friendly high-level concepts, which are automatically translated by SEMIOTIC into sensor/actuator commands adapted to the underlying device deployment in each space. We present a reference implementation of the ecosystem that has been deployed at the University of California, Irvine and is abstracting data from hundreds of sensors in the space and providing applications to campus members.
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