SWM-PnR: Ontology-Based Context-Driven Knowledge Representation for IoT-Enabled Waste Management Inna Sosunova 1(&) , Arkady Zaslavsky 1,2 , Theodoros Anagnostopoulos 1,3 , Petr Fedchenkov 1 , Oleg Sadov 1 , and Alexey Medvedev 4 1 Department of Infocommunication Technologies, ITMO University, Kronverkskiy pr., 49, St. Petersburg, Russia {inna_sosunova,pvfedchenkov}@corp.ifmo.ru 2 Digital Data61, CSIRO, Box 312, Clayton South, VIC 3169, Australia Arkady.Zaslavsky@csiro.au 3 Research and Education, Ordnance Survey, SO16 0AS Southampton, UK Theodoros.Anagnostopoulos@os.uk 4 Caulfield School of Information Technology, Monash University, Melbourne, Australia alexey.medvedev@monash.edu Abstract. Using knowledge-based and semantic technologies in IoT is a very active research and promising area. This paper proposes a method of ontology- based context-driven knowledge representation for IoT-enabled hard waste management as part of a wider international project that aims at building IoT ecosystems for smart cities. The paper presents the development of the waste management ontology, rules, and proposes a multistage data processing method that allows extracting knowledge about specific nontrivial situations on its basis. The paper describes implementation of the proposed system as a web applica- tion, where the content types are based on ontology, and data processing occurs according to the proposed algorithm. Benefits of the proposed knowledge-based system are discussed and demonstrated. The proposed approach will signifi- cantly improve monitoring and management of waste collection, route planning, and problem reporting. Keywords: Waste management Á Knowledge representation Á Ontology Á Situation awareness Á Context awareness Á Decision support 1 Introduction By 2050 66% of all Earth population will live in urban environments according to estimates of scientists [1]. For this reason, the concept of Smart Cities is becoming a major area of research in developed and developing economies. A Smart City is a technology-driven paradigm that combines information technologies, communication technologies and the Internet of Things to manage the city infrastructure, data, and © Springer International Publishing AG 2017 O. Galinina et al. (Eds.): NEW2AN/ruSMART/NsCC 2017, LNCS 10531, pp. 151–162, 2017. DOI: 10.1007/978-3-319-67380-6_14