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• W2786449066 abstract "The exploitation of electrical equipment and the emergence of New Information and Communication Technologies (NICT), which led to a significant increase in electricity consumption. This article presents a decision-making tool for the choice of energy consumption, which makes it possible to ensure better energy efficiency. It examines how the semantic Web approach can be used to represent information about a resident, energy, behavior, and activities of residents. Ontology is the main element in this work because it represents information about concepts, properties, and relationships between concepts. This approach offers several advantages, such as sharing and reusing knowledge for good decision-making. We chose OWL (Ontology Web Language) for the formal representation of knowledge, SWRL rules (Semantic Web Rules) to present the intelligent reasoning of the solution, finally, the software Protégé2000 is used for the edition of knowledge. We applied our solution to a residence located in the city of Adrar in Algeria. This city is characterized by a climate and human activities specific to the region; these two characteristics have a great influence on the consumption of energy." @default.
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• W2786449066 date "2018-01-01" @default.
• W2786449066 modified "2023-09-26" @default.
• W2786449066 title "Development of an Ontology Based Solution for Energy Saving Through a Smart Home in the City of Adrar in Algeria" @default.
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• W2786449066 doi "https://doi.org/10.1007/978-3-319-74690-6_52" @default.
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