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Using OWL Ontologies for Selective Waste Sorting and Recycling

Arnab Sinha 1 Paul Couderc 1
1 ACES - Ambient computing and embedded systems
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We are seeing the emergence of the Internet of Things, where digitally enabled objects can interact in smart environments. RFID can play an important role in linking common objects to the digital world. In this paper, we focus on e cient processing of collective waste items. These are considered to be smart by tagging them with RFID which bears the description of its properties. We have demonstrated a model using OWL ontology to sort these smart waste items for better recycling of materials. Our motive for using ontologies is for representing and reasoning of the domain knowledge to be autonomous, reducing the need for frequent references and updates for knowledge de nitions from external sources in real time.
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  • HAL Id : hal-00924427, version 1

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Arnab Sinha, Paul Couderc. Using OWL Ontologies for Selective Waste Sorting and Recycling. OWLED-2012, May 2012, Heraklion, Crete, Greece. ⟨hal-00924427⟩

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