Abstract
This paper focuses on an approach to build ontology for home energy management domain which is compatible with Suggested Upper Merged Ontology (SUMO). Our starting point in doing so was to study general classifications of home electrical appliances provided by various home appliances vendors and manufacturers. Various vendors and manufacturers use their own arbitrary classification instead of using a single standard classification system for home appliances and there exists no uniformity of appliances specifications among these vendors. Although the appliances vendors provide energy efficiency rating of home appliances but they do not provide a detailed specification of the attributes that contributes towards their overall energy consumption. In the absence of these attributes and non existence of a standard ontology it is difficult for reasoning tools to provide a comprehensive comparison of home appliances based on their energy consumption performance and also to provide a comparative analysis of energy consumption of these appliances.
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References
Knowledge Interchange Format (KIF), http://logic.stanford.edu/kif/kif.html
Ontolingua, http://www.ksl.stanford.edu/software/ontolingua/
Yamaguchi, T.: Constructing Domain Ontologies Based on Concept Drift Analysis. In: IJCAI 1999, Workshop on Ontologies and Problem-Solving Methods (1999)
CommonKAD http://www.commonkads.uva.nl/frameset-commonkads.html
Protégé, http://protege.stanford.edu/
Standard Upper Ontology Working Group Website, http://suo.ieee.org/
The Digital Environment Home Energy Management System, http://www.dehems.org/
Kim, E., Choi, J.-Y.: An ontology-based context model in a smart home. In: Gavrilova, M.L., Gervasi, O., Kumar, V., Tan, C.J.K., Taniar, D., Laganá, A., Mun, Y., Choo, H. (eds.) ICCSA 2006. LNCS, vol. 3983, pp. 11–20. Springer, Heidelberg (2006)
Guo, T., Wang, X., Hang, P.H.K., Zhang, D.Q.: An Ontology-based Context Model in Intelligent Environments. In: Communication Networks and Distributed Systems Modeling and Simulation Conference, pp. 270–275 (2004)
Reinisch, C., Kofler, M.J.I., F´elix, K.: ThinkHome Energy Efficiency in Future Smart Homes. EURASIP Journal on Embedded Systems (2011)
Uschold, U., Gruninger, M.: Ontologies: Principles, methods and applications. Knowledge Engineering Review 11(2) (1996)
Web Ontology Language, http://www.w3.org/TR/owl-features/
Tomic, S., Fensel, A., Pellegrini, T.: SESAME demonstrator: ontologies, services and policies for energy efficiency. In: I-SEMANTICS (2010)
ENERGY STAR, http://www.energystar.gov/index.cfm?c=home.index
EU Energy Label, http://www.energy.eu/focus/energy-label.php
Dameron, O., Noy, N., Knublauch, H., Musen, M.A.: MusenAccessing and Manipulating Ontologies Using Web Services. In: Workshop on Semantic Web Services: Preparing to Meet the World of Business Applications at the Third International Conference on the Semantic Web (2004)
Stollberg, N., Norton, B.: A Refined Goal Model for Semantic Web Service. In: Proc. of the 2nd International Conference on Internet and Web Applications and Services (2007)
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Shah, N., Chao, KM., Zlamaniec, T., Matei, A. (2011). Ontology for Home Energy Management Domain. In: Cherifi, H., Zain, J.M., El-Qawasmeh, E. (eds) Digital Information and Communication Technology and Its Applications. DICTAP 2011. Communications in Computer and Information Science, vol 167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22027-2_28
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DOI: https://doi.org/10.1007/978-3-642-22027-2_28
Publisher Name: Springer, Berlin, Heidelberg
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