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2023•Unpublished venueRequires access

Breaking Down IoT Silos: Semantic Interoperability Support System for the Internet of Things

Mario San Emeterio de la Parte, José-Fernán Martí­nez-Ortega, Néstor Lucas Martínez, Vicente Hernández

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Abstract

The Internet of Things (IoT) is an emerging technology nurtured by the production of large volumes of data generated by various distributed agents in production environments. Solutions developed in specific application domains use multiple native data models, making integration and interoperability between solutions a complex scenario to achieve. The purpose of this paper is to provide a Semantic Interoperability Support System (SIS) that offers a powerful tool for semantic analysis, mapping, and implementation of connectors or gateways to achieve semantic interoperability between IoT solutions. The paper presents a real evaluation scenario in which the proposal to ensure semantic interoperability between the intelligent platform solutions, AFarCloud and DEMETER, is validated.

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What this paper is about

The Internet of Things (IoT) is an emerging technology nurtured by the production of large volumes of data generated by various distributed agents in production environments. Solutions developed in specific application domains use multiple native data models, making integration and interoperability between solutions a complex scenario to achieve. The purpose of this paper is to provide a Semantic Interoperability Support System (SIS) that offers a powerful tool for semantic analysis, mapping, and implementation of connectors or gateways to achieve semantic interoperability between IoT solutions. The paper presents a real evaluation scenario in which the proposal to ensure semantic interoperability between the intelligent platform solutions, AFarCloud and DEMETER, is validated.

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Available abstract

The Internet of Things (IoT) is an emerging technology nurtured by the production of large volumes of data generated by various distributed agents in production environments. Solutions developed in specific application domains use multiple native data models, making integration and interoperability between solutions a complex scenario to achieve. The purpose of this paper is to provide a Semantic Interoperability Support System (SIS) that offers a powerful tool for semantic analysis, mapping, and implementation of connectors or gateways to achieve semantic interoperability between IoT solutions. The paper presents a real evaluation scenario in which the proposal to ensure semantic interoperability between the intelligent platform solutions, AFarCloud and DEMETER, is validated.

Key concepts: Interoperability, Semantic interoperability, Computer science, Internet of Things, Semantic technology, Software engineering, Semantic data model, World Wide Web

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