While the mass consumers' demand and expectations in the energy efficiency field grow, the providers and manufacturers of electrical appliances are searching for the approaches and infrastructures enabling them to build new kind of added-value services, based on the large volumes of data available from the appliances.

Thus, the project OpenFridge (http://openfridge.net) has designed, developed and deployed in real life a pilot simple and scalable Internet of Things data infrastructure, empowering building new services based on the typical home appliance data, e.g. data on the energy consumption of the fridge.

Fridges consume electricity the whole day and are among the most heavy energy consuming appliances in a typical household. It is therefore important to have their specifications available, when optimizing energy consumption. Details about household, user, and fridge itself can provide insights on a higher, abstract level.

The goal of the thesis is to design and develop a service that answers the following competency questions by querying the knowledge base defined by the ontology:

• How efficient is my fridge compared with others?

• Do I need a replacement for my old fridge?

• What are comparable refrigerator alternatives for my household size?

• How much energy was wasted by opening the door?

• How long are the intervals for cooling?

The information of the ontologies and the real-life user-entered and sensor-read energy consumption data collected at the OpenFridge portal needs to be analyzed, queried employing an ontology query language, and visualized, so that the OpenFridge system is able to answer the questions such as on the above list.

The proposed thesis will be associated with a FFG project OpenFridge: Opening and Processing Appliances Data for Energy Efficiency (http://openfridge.net).

The topic can be assigned to one or two students.

References:

• Tomic, S., Fensel, A. „OpenFridge: A Platform for Data Economy for Energy Efficiency Data”, In Proceedings of BigData'13: Data Economy in the Big Data Era, IEEE, pp. 43-47, 6-9 October 2013, Silicon Valley, CA, USA. Full text URI: https://www.researchgate.net/publication/261165853_OpenFridge_A_platform_for_data_economy_for_energy_efficiency_data

• Fensel, A., Gasser, F., Mayr, C., Ott, L., Sarigianni, C. “Selecting Ontologies and Publishing Data of Electrical Appliances: A Refrigerator Example”. In Proceedings of On the Move to Meaningful Internet Systems: OTM 2014 Workshops, Springer LNCS 8842, pp. 494-503, 28 October 2014, Amantea, Italy. Full text URI: https://www.researchgate.net/publication/270159842_Selecting_Ontologies_and_Publishing_Data_of_Electrical_Appliances_A_Refrigerator_Example