Power-managed smart lighting using a semantic interoperability architecture

Abstract

DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

Semantic Interoperability Architecture for Smart Spaces

“…Semantic interoperability is established by an ontology model and its interoperability interactions are explained. The smart lighting applications using the proposed semantic interoperability architecture is experimented in [12,21]. We focused on sensor nodes and their services for gathering information from the environment in the implementation of the proposed solution.…”

“…This requires a smart space architecture to have compatible mechanisms for representing, modifying and updating semantics in order to produce meaningful and valid results. In this paper, we adopt the baseline architectures i.e., Smart-M3 form high capacity smart objects (HCSOs) that have plenty of resources and OSAS (Open Service Architecture for Sensors) [11,12] for low capacity smart objects (LCSOs) that are resource poor. We propose a semantic interoperability architecture for exchanging contexts between objects.…”

A survey on the development status and application prospects of knowledge graph in smart grids

“…Ontology refers to the formal, explicit, and shared conceptual explanation of real world. In other words, an ontology is a formal representation of a set of concepts and their relationships in a particular domain, which is suitable for semantic information representation and inference [29,30]. Meanwhile, a wellconstructed ontology can facilitate machine processable definitions and help develop the knowledge-based information search and management systems more effectively and efficiently [31].…”