A Semantic-Based Approach to Modelling Smart Indoor Kitchen Garden

Ijaz Uddin; Abdur Rakib; Mumtaz Ali; Hafiz Mahfooz ul Haque; Altaf Uddin

doi:10.1007/s11036-023-02183-x

A Semantic-Based Approach to Modelling Smart Indoor Kitchen Garden

Ijaz Uddin, Abdur Rakib, Mumtaz Ali, Hafiz Mahfooz ul Haque, Altaf Uddin

Centre for Future Transport and Cities

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Abstract

Smart indoor kitchen garden environments have a significant potential to provide for monitoring of plants where a user can grow selected plants without any prior knowledge. Such environments are typically equipped with a number of heterogeneous sensors that monitor environmental parameters. This paper presents a formal system development framework, called Planquarium, consisting of an agent-based context-aware infrastructure, which provides information with an unambiguous, shared meaning across sensing devices and end-users. The main focus is on collecting, modelling, reasoning, and distribution of context in relation to sensor data. The ontologies and semantic web rules are used in order to enable semantic interpretation of context awareness. A simple but realistic example system shows how activities are deduced using distributed rule-based reasoning based on the situations that occur in the indoor kitchen garden. The novelty of the proposed approach lies in the formal ontology usage within the design stage and the combination of different semantic and reasoning technologies providing a clear benefit for the application scenario under consideration.

Original language	English
Pages (from-to)	(In-Press)
Journal	Mobile Networks and Applications
Volume	(In-Press)
Early online date	28 Jul 2023
DOIs	https://doi.org/10.1007/s11036-023-02183-x
Publication status	E-pub ahead of print - 28 Jul 2023

Bibliographical note

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

Keywords

Context-awareness
Multi-agent system
Ontology
Interoperability
Indoor Kitchen Garden

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10.1007/s11036-023-02183-x

Rakib2023AAMAccepted author manuscript, 24.5 MB

Cite this

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abstract = "Smart indoor kitchen garden environments have a significant potential to provide for monitoring of plants where a user can grow selected plants without any prior knowledge. Such environments are typically equipped with a number of heterogeneous sensors that monitor environmental parameters. This paper presents a formal system development framework, called Planquarium, consisting of an agent-based context-aware infrastructure, which provides information with an unambiguous, shared meaning across sensing devices and end-users. The main focus is on collecting, modelling, reasoning, and distribution of context in relation to sensor data. The ontologies and semantic web rules are used in order to enable semantic interpretation of context awareness. A simple but realistic example system shows how activities are deduced using distributed rule-based reasoning based on the situations that occur in the indoor kitchen garden. The novelty of the proposed approach lies in the formal ontology usage within the design stage and the combination of different semantic and reasoning technologies providing a clear benefit for the application scenario under consideration.",

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A Semantic-Based Approach to Modelling Smart Indoor Kitchen Garden

Abstract

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Keywords

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