An ontology-based reasoning approach towards energy-aware smart homes

Cheong, Yun-Gyung; Kim, Yeo-Jin; Yoo, Seung Yeol; Lee, Hosub; Lee, Sunjae; Chae, Seung Chul; Choi, Hyunjin

doi:10.1109/ccnc.2011.5766626

Cited by 24 publications

(14 citation statements)

References 6 publications

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“…Cheong et al [116] presented an ontology-based reasoning approach applied to saving energy in a smart home while using a mobile phone as a generic sensor for collecting the user's contextual data. The data collected by the system is sent to a central server which reports the status of the requested device and its electricity level to the respective user.…”

Section: Intelligent Systems and Ontology-based Domoticsmentioning

confidence: 99%

Towards the Evolution of Smart Home Environments: A Survey

Salazar¹

2016

AUSMT

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Current lifestyles and technologies have inspired new ways to manage home appliances free of restrictions previously imposed by distance and time. So-called home automation technologies allow users to control and schedule common home tasks, often without human intervention. Several types of home automation systems have been proposed and classified according to their functionality, mode of user interaction, scheduling systems and cost-effectiveness. This paper reviews proposals in the smart home field from the last five years, considering both technical and functional aspects. The paper seeks to define automated or smart home systems by identifying common aspects of current such systems.

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Section: Intelligent Systems and Ontology-based Domoticsmentioning

confidence: 99%

Towards the Evolution of Smart Home Environments: A Survey

Salazar¹

2016

AUSMT

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“…Examples of ontologies as data models for the implementation can be found in [9], [16], [17], [18]. Ontologies and ontological reasoning were used to provide activity recognition for health domain applications of elderly monitoring use case [16].…”

Section: B Data Model Solutionsmentioning

confidence: 99%

“…Thus, in [18] ontologies were enriched by using SWRL [19] language, and its limitations were discussed. In [20] ontologies were used with SPARQL query language to obtain needed information.…”

Section: B Data Model Solutionsmentioning

confidence: 99%

Ontological framework of context-aware and reasoning middleware for smart homes with health and social services

Evchina

Dvoryanchikova

Lastra

2012

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Modern buildings are equipped with multiple systems, which are dedicated to improve quality of living for inhabitants and to facilitate performance of daily duties for maintenance personnel. Yet the variety of the systems causes the bulky informational flow, which may result informational tense to the user, time lost and increase of errors. To make life comfortable in a smart house, the inhabitants of the building should have an access to the simple and intuitive control and monitoring of the apartment, and the maintenance personnel should have a handily informational support for the prioritizing and efficient performance of the maintenance tasks. Thus, there is a need in intelligent management of information flow to provide data to the users with regards to the context like for instance on-going situation and goals, user's intentions, state and role in the system. This paper proposes framework of contextaware middleware as a solution for information management in the system. Context-awareness is achieved with ontological knowledge models of the system and two-level reasoning upon the ontologies. The enabled technologies are discussed with relation to the use case, which is a combination of smart home and elderly care services. Future steps towards framework realization end the paper.

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“…the optimal use of IT to minimize environmental impact) and greening by IT (i.e. minimizing the environmental impact by using IT resources), two main roles that IT plays in achieving environmental goals [2], [14], [15]. 4) Codify the green actions.…”

Section: A Case Study Executionmentioning

confidence: 99%

Aligning economic impact with environmental benefits: A green strategy model

Lago

Potenza

2012

2012 First International Workshop on Green and Sustainable Software (GREENS)

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Abstract-To achieve lower energy consumption many green strategies (e.g. virtualize applications and consolidate them on shared server machines, or optimize the usage of the private cloud by opening up to external consumers) have been discussed. In practice, however, the major incentive for a company to go green is reducing costs. While green strategies often focus on technical and environmental issues, they hardly address the economic impact that they may bring. If green strategies do not lead to an explicit (and significant) reduction of costs (hence increase in revenues) they are nice but not part of the business strategy of the company. In this paper we propose a green strategy model that provides decision makers with the information needed to decide on whether to take green strategies and eventually how to align them with their business strategies. This model provides a means to codify green strategies in such a way that the link between green strategies, their economic impact and green goals becomes explicit. We applied the model in a case study to codify 132 green actions collected from Dutch data centers. This exercise further confirmed the advantage of using the proposed model and helped us identifying future improvements.

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An ontology-based reasoning approach towards energy-aware smart homes

Cited by 24 publications

References 6 publications

Towards the Evolution of Smart Home Environments: A Survey

Towards the Evolution of Smart Home Environments: A Survey

Ontological framework of context-aware and reasoning middleware for smart homes with health and social services

Aligning economic impact with environmental benefits: A green strategy model

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