Abstract
This paper introduces the Future Home for Future Communities’ Smart Home, a semantic-based framework for indoor comfort metrics customization inside a living environment. The Smart Home merges Ambient Intelligence, Ambient Assisted Living and Context Awareness perspectives to provide customized comfort experience to the dwellers, also leveraging on a ubiquitous interface. The smart home leverages ontological representations of inhabitants’ health conditions, comfort metrics and available devices to provide dwellers with indoor temperature, humidity rate, CO2 concentration and illuminance suitable for their health conditions and to the activities they want to perform inside the house. Dwellers interactions within the Smart Home are performed via the interface, while the ontologies composing the knowledge base are reasoned and hosted on a semantic repository. Two use cases depict the framework’s functioning in two typical scenarios: adjusting indoor temperature and providing illuminance comfort while preparing a meal.
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References
Memon, M., Wagner, S.R., Pedersen, C.F., Beevi, F.H.A., Hansen, F.O.: Ambient assisted living healthcare frameworks, platforms, standards, and quality attributes. Sensors 14, 4312–4341 (2014)
Remagnino, P., Hagras, H., Monekosso, N., Velastin, S.: Ambient intelligence. In: Remagnino, P., Foresti, G.L., Ellis, T. (eds.) Ambient Intelligence, pp. 1–14. Springer, New York (2005). https://doi.org/10.1007/0-387-22991-4_1
Alam, M.R., Reaz, M.B.I., Ali, M.A.M.: A review of smart homes—past, present, and future. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 42, 1190–1203 (2012)
Demiris, G., Hensel, B.K.: Technologies for an aging society: a systematic review of smart home applications. Yearbook Med. Inform. 17, 33–40 (2008)
Jahn, M., Jentsch, M., Prause, C.R., Pramudianto, F., Al-Akkad, A., Reiners, R.: The energy aware smart home. In: 2010 5th International Conference on Future Information Technology (FutureTech), pp. 1–8. IEEE (2010)
Katz, S.: Assessing self-maintenance: activities of daily living, mobility, and instrumental activities of daily living. J. Am. Geriatr. Soc. 31, 721–727 (1983)
Mahroo, A., Spoladore, D., Caldarola, E.G., Modoni, G.E., Sacco, M.: Enabling the smart home through a semantic-based context-aware system. In: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 543–548. IEEE (2018)
Gruber, T.R.: A translation approach to portable ontology specifications. Knowl. Acquis. 5, 199–220 (1993)
Future Home for Future Communities. Project Website. www.fhffc.it
Lee, D., Cheng, C.-C.: Energy savings by energy management systems: a review. Renew. Sustain. Energy Rev. 56, 760–777 (2016)
Stojkoska, B.L.R., Trivodaliev, K.V.: A review of Internet of Things for smart home: challenges and solutions. J. Clean. Prod. 140, 1454–1464 (2017)
Zhou, B., et al.: Smart home energy management systems: concept, configurations, and scheduling strategies. Renew. Sustain. Energy Rev. 61, 30–40 (2016)
Tila, F., Kim, D.H.: Semantic IoT system for indoor environment control–a Sparql and SQL based hybrid model. Adv. Sci. Technol. Lett. 120, 678–683 (2015)
Sirin, E., Parsia, B.: SPARQL-DL: SPARQL query for OWL-DL. In: OWLED. Citeseer (2007)
Frešer, M., Cvetkovi, B., Gradišek, A., Luštrek, M.: Anticipatory system for T–H–C dynamics in room with real and virtual sensors. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, pp. 1267–1274. ACM (2016)
Adeleke, J.A., Moodley, D.: An ontology for proactive indoor environmental quality monitoring and control. In: Proceedings of the 2015 Annual Research Conference on South African Institute of Computer Scientists and Information Technologists, p. 2. ACM (2015)
Stavropoulos, T.G., Vrakas, D., Vlachava, D., Bassiliades, N.: BOnSAI: a smart building ontology for ambient intelligence. In: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, p. 30. ACM (2012)
Spoladore, D., Arlati, S., Sacco, M.: Semantic and virtual reality-enhanced configuration of domestic environments: the smart home simulator. Mob. Inf. Syst. 2017, Article ID 3185481, 15 p. (2017). https://www.hindawi.com/journals/misy/2017/3185481/. Accessed 14 Aug 2019
Spoladore, D., Arlati, S., Carciotti, S., Nolich, M., Sacco, M.: RoomFort: an ontology-based comfort management application for hotels. Electronics 7, 345 (2018)
Nolich, M., Spoladore, D., Carciotti, S., Buqi, R., Sacco, M.: Cabin as a home: a novel comfort optimization framework for IoT equipped smart environments and applications on cruise ships. Sensors 19, 1060 (2019)
Pizzagalli, S., Spoladore, D., Arlati, S., Sacco, M., Greci, L.: HIC: an interactive and ubiquitous home controller system for the smart home. In: 2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH), pp. 1–6. IEEE (2018)
Stardog 5-Knowledge Graph Platform. https://www.stardog.com/docs/
Busemann, C., et al.: Enabling the usage of sensor networks with service-oriented architectures. In: Proceedings of the 7th International Workshop on Middleware Tools, Services and Run-Time Support for Sensor Networks, p. 1. ACM (2012)
Richardson, M., Wallace, S.: Getting Started with Raspberry PI. O’Reilly Media Inc., Newton (2012)
Pan, J.Z.: Resource description framework. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies. IHIS, pp. 71–90. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-92673-3_3
McGuinness, D.L., Van Harmelen, F., et al.: OWL web ontology language overview. W3C Recommendation 10 (2004)
Horrocks, I., et al.: SWRL: a semantic web rule language combining OWL and RuleML. W3C Member Submission 21(79) (2004)
Suárez-Figueroa, M.C., Gómez-Pérez, A., Fernández-López, M.: The NeOn methodology for ontology engineering. In: Suárez-Figueroa, M.C., Gómez-Pérez, A., Motta, E., Gangemi, A. (eds.) Ontology Engineering in a Networked World, pp. 9–34. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-24794-1_2
Golbeck, J., Rothstein, M.: Linking social networks on the web with FOAF: a semantic web case study. In: AAAI, pp. 1138–1143 (2008)
World Health Organization: International Classification of Functioning, Disability and Health: ICF. Geneva: World Health Organization (2001)
Ontology of the International Classification of Functioning, Disability and Health. https://www.bioportal.bioontology.org/ontologies/ICF
Janowicz, K., Haller, A., Cox, S.J., Le Phuoc, D., Lefrançois, M.: SOSA: a lightweight ontology for sensors, observations, samples, and actuators. J. Web Semant. 56, 1–10 (2018)
Compton, M., et al.: The SSN ontology of the W3C semantic sensor network incubator group. Web Semant.: Sci. Serv. Agents World Wide Web 17, 25–32 (2012)
Daniele, L., den Hartog, F., Roes, J.: Created in close interaction with the industry: the smart appliances reference (SAREF) ontology. In: Cuel, R., Young, R. (eds.) FOMI 2015. LNBIP, vol. 225, pp. 100–112. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21545-7_9
Moreira, J., et al.: Towards IoT platforms’ integration: semantic Translations between W3C SSN and ETSI SAREF. In: SIS-IoT: Semantic Interoperability and Standardization in the IoT Workshop at Semantics Conference (2017)
Stoyanov, S.R., Hides, L., Kavanagh, D.J., Zelenko, O., Tjondronegoro, D., Mani, M.: Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR mHealth uHealth 3, e27 (2015)
Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag. Sci. 46, 186–204 (2000)
Brooke, J.: others: SUS-A quick and dirty usability scale. Usability Eval. Ind. 189, 4–7 (1996)
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This work has been founded by “Convenzione Operativa No. 19365/RCC” in the framework of the project “Future Home for Future Communities”.
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Spoladore, D., Mahroo, A., Sacco, M. (2019). Leveraging Ontology to Enable Indoor Comfort Customization in the Smart Home. In: Cuzzocrea, A., Greco, S., Larsen, H., Saccà, D., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2019. Lecture Notes in Computer Science(), vol 11529. Springer, Cham. https://doi.org/10.1007/978-3-030-27629-4_9
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