Abstract
Rule-based systems have been increasing in popularity in recent years. They allow for easier handling of both simple and complicated problems utilising a set of rules created in various ways (e.g., manually, or (semi-) automatically, via, say, machine learning or decision trees) depending on the situation. Despite their usefulness however, there are still improvements to be made. Knowledge representation technologies have been available for a long time and provide the means to represent domains formally and correlate entities in those domains. They also allow for ontological reasoning that can take advantage of such connections between entities. These techniques can be useful when applied on rule-based systems in order to improve the quality of rules and, hence, overall system performance. We describe and implement an approach to refine rules used in Internet-of-Things scenarios using knowledge representation and reasoning. The proposed solution uses ontological reasoning on the preconditions and postconditions of rules as it aims to reduce the total amount of rules in a system and simplify them.
This research is partially sponsored by the EPSRC grant EP/P011829/1, funded under the UK Engineering and Physical Sciences Council Human Dimensions of Cyber Security call (2016).
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References
Beckel, C., Kleiminger, W., Cicchetti, R., Staake, T., Santini, S.: The eco data set and the performance of non-intrusive load monitoring algorithms. In: Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings (2014)
Durkheim, E., Simpson, G.: Emile Durkheim on the Division of Labor in Society/Being a Translation of His De La Division Du Travail Social, with an Estimate of His Work by George Simpson. Macmillan, London (1933)
Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. Int. J. Hum. Comput. Stud. - Special Issue: The Role of Formal Ontology in the Information Technology 43(5–6), 907–928 (1995)
Gubbia, J., Buyyab, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. FGCS 29(7), 1645–1660 (2013)
Kleiminger, W., Beckel, C., Santini, S.: Household occupancy monitoring using electricity meters. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (2015)
Morales, J., López-Sánchez, M., Rordriguez-Aguilar, J.A., Vasconcelos, W., Wooldridge, M.: Online automated synthesis of compact normative systems. ACM Trans. Autonom. Adapt. Syst. 10(1), Article 2 (2015)
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Panaretos, A., Corsar, D., Vasconcelos, W.W. (2019). Minimality and Simplicity of Rules for the Internet-of-Things. In: Lujak, M. (eds) Agreement Technologies. AT 2018. Lecture Notes in Computer Science(), vol 11327. Springer, Cham. https://doi.org/10.1007/978-3-030-17294-7_5
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