Abstract
This paper presents a tool for designing Policies that govern the operation of an Ambient Intelligence (AmI) environment in order to minimize energy consumption and automate every-day tasks in smart settlements. This tool works on top of a semantic web services middleware and interacts with the middleware’s ontology in order to facilitate the designing, monitoring and execution of user defined rules that control the operation of a network of heterogeneous sensors and actuators. Furthermore, it gives the user the capability to organize these rules in tasks, in order to aggregate and discern relative rules. The main objective of this system is to provide a better monitoring and management of the resources, so as to achieve energy efficiency and reduce power consumption. The work presented in this paper is part of the Smart IHU project, which is developed at International Hellenic University.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Directive 2010/31/EU of 19 May 2010 on the energy performance of buildings
Ashton, K.: That ‘Internet of Things’ Thing. In: RFID Journal (July 22, 2009). Abgerufen am (April 8, 2011)
Analyst Geoff Johnson interviewed by Sue Bushell in Computerworld (July 24, 2000) (M-commerce key to ubiquitous internet)
Panchube Project, http://community.pachube.com/about
Niazi, M., Hussain, A.: Agent based Tools for Modeling and Simulation of Self-Organization in Peer-to-Peer, Ad-Hoc and other Complex Networks, Feature Issue. IEEE Communications Magazine 47(3), 163–173 (2009)
XML and Semantic Web W3C Standards Timeline (February 4, 2012)
W3C Semantic Web Activity. World Wide Web Consortium (W3C) (November 7, 2011)
Zelkha, E., Epstein, B., Birrell, S., Dodsworth, C.: From Devices to “Ambient Intelligence”. In: Digital Living Room Conference (June 1998)
Stavropoulos, T.G., Tsioliaridou, A., Koutitas, G., Vrakas, D., Vlahavas, I.P.: System Architecture for a Smart University Building. ICANN (3), 477–482 (2010)
Stavropoulos, T.G., Vrakas, D., Arvanitidis, A., Vlahavas, I.: A System for Energy Savings in an Ambient Intelligence Environment. In: Kranzlmüller, D., Toja, A.M. (eds.) ICT-GLOW 2011. LNCS, vol. 6868, pp. 102–109. Springer, Heidelberg (2011)
BOnSAI Ontology, http://lpis.csd.auth.gr/ontologies/ontolist.html
Doukas, H., Patlitzianas, K.D., Iatropoulos, K., Psarras, J.: Intelligent building energy management system using rule sets. Building and Environment 42(10), 3562–3569 (2007)
Hofman, T., Steinbuch, M., van Druten, R.M., Serrarens, A.F.A.: Rule-based energy management strategies for hybrid vehicle drivetrains: A fundamental approach in reducing computation time. In: 4th IFAC Symposium on Mechatronic Systems 2006 (2006)
Prymek, M., Horak, A.: Multi-agent approach to power distribution network modelling. Integr. Comput.-Aided Eng. 17(4), 291–303 (2010)
Ponci, F., Cristaldi, L., Faifer, M., Riva, M.: Multi agent systems: An example of power system dynamic reconfiguration. Integr. Comput.-Aided Eng. 17(4), 359–372 (2010)
Jena Project, http://incubator.apache.org/jena/
JAX-WS Reference Implementation (RI) Project, http://jax-ws.java.net/
Bikakis, A., Antoniou, G.: Contextual Defeasible Logic and Its Application to Ambient Intelligence. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 41(4), 705–716 (2011)
Filippaki, C., Antoniou, G., Tsamardinos, I.: Using Constraint Optimization for Conflict Resolution and Detail Control in Activity Recognition. In: Keyson, D.V., et al. (eds.) AmI 2011. LNCS, vol. 7040, pp. 51–60. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Kotsiopoulos, N.P., Vrakas, D. (2014). Policies Production System for Ambient Intelligence Environments. In: Likas, A., Blekas, K., Kalles, D. (eds) Artificial Intelligence: Methods and Applications. SETN 2014. Lecture Notes in Computer Science(), vol 8445. Springer, Cham. https://doi.org/10.1007/978-3-319-07064-3_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-07064-3_20
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07063-6
Online ISBN: 978-3-319-07064-3
eBook Packages: Computer ScienceComputer Science (R0)