Using OWL Ontologies for Selective Waste Sorting and Recycling

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.