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A Semantics-Rich Information Technology Architecture for Smart Buildings
Open accessAbstract
The design of smart homes, buildings and environments currently suffers from a low maturity of available methodologies and tools. Technologies, devices and protocols strongly bias the design process towards vertical integration, and more flexible solutions based on separation of design concerns are seldom applied. As a result, the current landscape of smart environments is mostly populated by defectively designed solutions where application requirements (e.g., end-user functionality) are too often mixed and intertwined with technical requirements (e.g., managing the network of devices). A mature and effective design process must, instead, rely on a clear separation between the application layer and the underlying enabling technologies, to enable effective design reuse. The role of smart gateways is to enable this separation of concerns and to provide an abstracted view of available automation technology to higher software layers. This paper presents a blueprint for the information technology (IT) architecture of smart buildings that builds on top of established software engineering practices, such as model-driven development and semantic representation, and that avoids many pitfalls inherent in legacy approaches. The paper will also present a representative use case where the approach has been applied and the corresponding modeling and software tools.
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“A critical limitation in raw MQTT deployments is the lack of inherent context; a topic named building1/sensor/temp carries a payload, but without a semantic layer, consuming agents cannot distinguish whether this represents an indoor ambient temperature, a boiler return temperature, or a setpoint [30].”
From Explainable AI and Multi-Agent Systems for Energy Management in IoT-Edge Environments: A State of the Art Review (2026) · cites this paper as [30]
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Research works printed but not linked: 40
- Capehart, B.L., and Middelkoop, T. (2011). Handbook of Web Based Energy Information and Control Systems, Fairmont Press. [1st ed.].
- Sheth, A., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., and Thirunarayan, K. (2008, January 26–30). DogOnt—Ontology Modeling for Intelligent Domotic Environments. Proceedings of the Semantic Web—ISWC 2008, Karlsruhe, Germany. · DOI
- Bonino, 2013, Real-Time Big Data Processing for Domain Experts, An Application to Smart Buildings, Big Data Computing/Rajendra Akerkar, Volume 1, 415, 10.1201/b16014-20 · DOI
- De Russis, L. (2014). Interacting with Smart Environments: Users, Interfaces, and Devices. [Ph.D. Thesis, Politecnico di Torino].
- Cook, 2009, Ambient intelligence: Technologies, applications, and opportunities, Pervas. Mob. Comput., 5, 277, 10.1016/j.pmcj.2009.04.001 · DOI
- Sadri, 2011, Ambient intelligence: A survey, ACM Comput. Surv., 43, 1, 10.1145/1978802.1978815 · DOI
- Bonino, 2014, JEERP: Energy aware enterprise resource planning, IT Prof., 16, 50, 10.1109/MITP.2013.22 · DOI
- Neill, C.J., and Laplante, P.A. (2005). Antipatterns: Identification, Refactoring, and Management, CRC Press. · DOI
- Koenig, A. (1998). The Patterns Handbook: Techniques, Strategies, and Applications, Cambridge University Press.
- Völter, M., Stahl, T., Bettin, J., Haase, A., and Helsen, S. (2013). Model-Driven Software Development: Technology, Engineering, Management, John Wiley & Sons.
- Bonino, 2012, DoMAIns: Domain-based modeling for ambient intelligence, Pervas. Mob. Comput., 8, 614, 10.1016/j.pmcj.2011.10.009 · DOI
- Hendler, 2001, The semantic web, Sci. Am., 284, 34, 10.1038/scientificamerican0501-34 · DOI
- Bonino, 2008, The DOG gateway: Enabling ontology-based intelligent domotic environments, IEEE Trans. Consum. Electron., 54, 1656, 10.1109/TCE.2008.4711217 · DOI
- Bonino, 2014, Exploiting semantic technologies in smart environments and grids: Emerging roles and case studies, Sci. Comput. Programm., 95, 112, 10.1016/j.scico.2014.02.018 · DOI
- Kosanke, 2003, Enterprise Modelling and Integration, Enterprise Inter- and Intra-Organizational Integration, Volume 108, 25, 10.1007/978-0-387-35621-1_4 · DOI
- Niu, 2013, Enterprise information systems architecture-analysis and evaluation, IEEE Trans. Ind. Inform., 9, 2147, 10.1109/TII.2013.2238948 · DOI
- Nakashima, H., Aghajan, H., and Augusto, J.C. (2009). Handbook of Ambient Intelligence and Smart Environments, Springer. [1st ed.]. · DOI
- Varela, 2011, UniDA: Uniform device access framework for human interaction environments, Sensors, 11, 9361, 10.3390/s111009361 · DOI
- Ni, 2011, CDTOM: A context-driven task-oriented middleware for pervasive homecare environment, Int. J. UbiComp, 2, 34, 10.5121/iju.2011.2103 · DOI
- Cook, 2013, CASAS: A smart home in a box, Computer, 46, 62, 10.1109/MC.2012.328 · DOI
- Cook, D., Schmitter-Edgecombe, M., Crandall, A., Sanders, C., and Thomas, B. (2009, January 4–9). Collecting and Disseminating Smart Home Sensor Data in the CASAS Project. Proceedings of the CHI09 Workshop on Developing Shared Home Behavior Datasets to Advance HCI and Ubiquitous Computing Research, Boston, MA, USA.
- Henricksen, K., Indulska, J., McFadden, T., and Balasubramaniam, S. (2005). On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE, Springer.
- Eisenhauer, M., Rosengren, P., and Antolin, P. (2009, January 22–26). A Development Platform for Integrating Wireless Devices and Sensors into Ambient Intelligence Systems. Proceedings of the 6th Annual IEEE Communications Society Conference on SECON Workshops’ 09, Rome, Italy. · DOI
- Eisenhauer, M., Rosengren, P., and Antolin, P. (2010). The Internet of Things, Springer.
- Madhusudanan, 2014, A generic middleware model for smart home, Int. J. Comput. Netw. Inform. Secur., 6, 19
- Atzori, 2010, The Internet of things: A survey, Comput. Netw., 54, 2787, 10.1016/j.comnet.2010.05.010 · DOI · Paper page
- Zizka, 2011, A Survey of Middleware for Internet of Things, Recent Trends in Wireless and Mobile Networks, Volume 162, 288, 10.1007/978-3-642-21937-5_27 · DOI
- Souza, A.M., and Amazonas, J.R. (2013, January 11–12). A Novel Smart Home Application Using an Internet of Things Middleware. Proceedings of the 2013 European Conference on Smart Objects, Systems and Technologies (SmartSysTech), Erlangen, Germany.
- Perumal, 2011, Interoperability framework for smart home systems, IEEE Trans. Consum. Electron., 57, 1607, 10.1109/TCE.2011.6131132 · DOI
- Reinisch, C., Kofler, M., and Kastner, W. (2010, January 13–16). ThinkHome: A Smart Home as Digital Ecosystem. Proceedings of the 2010 4th IEEE International Conference on Digital Ecosystems and Technologies (DEST), Dubai, United Arab Emirates. · DOI
- Reinisch, 2011, ThinkHome energy efficiency in future smart homes, EURASIP J. Embed. Syst., 2011, 1, 10.1155/2011/104617 · DOI
- Fensel, 2013, SESAME-S: Semantic smart home system for energy efficiency, Inform. Spektrum, 36, 46, 10.1007/s00287-012-0665-9 · DOI
- Fensel, 2014, End user interfaces for energy efficient semantically-snabled smart homes, Energy Effic., 7, 655, 10.1007/s12053-013-9246-2 · DOI
- Kumar, V., Fensel, A., and Fröhlich, P. (2012, January 3–5). Context Based Adaptation of Semantic Rules in Smart Buildings. Proceedings of the International Conference on Information Integration and Web-Based Applications & Services, Bali, Indonesia. · DOI
- Herrero, 2012, Semantic Policy-Based Data Management for Energy Efficient Smart Buildings, On the Move to Meaningful Internet Systems: OTM 2012 Workshops, Volume 7567, 272
- Sang, 2011, Semantic web-based policy interaction detection method with rules in smart home for detecting interactions among user policies, IET Commun., 5, 2451, 10.1049/iet-com.2010.0615 · DOI
- Girtelschmid, 2014, On the application of Big Data in future large scale intelligent Smart City installations, Int. J. Pervas. Comput. Commun., 10, 168, 10.1108/IJPCC-03-2014-0022 · DOI
- Gruber, 1995, Toward principles for the design of ontologies used for knowledge sharing, Int. J. Hum. Comput. Stud., 43, 907, 10.1006/ijhc.1995.1081 · DOI · Paper page
- Furfari, F., Sommaruga, L., Soria, C., and Fresco, R. (2004, January 8–10). DomoML: The Definition of a Standard Markup for Interoperability of Human Home Interactions. Proceedings of the 2nd European Union Symposium on Ambient Intelligence, Eindhoven, The Netherlands. · DOI
- Bonino, 2012, SpChains: A declarative framework for data stream processing in pervasive applications, Procedia Comput. Sci., 10, 316, 10.1016/j.procs.2012.06.042 · DOI
Cited by
Sorted by citations
Álvarez-López, C., González-Briones, A., & Li, T. (2026) · Electronics · doi:10.3390/electronics15020385 · Cited by 23
Metadata
- Authors
- Bonino, D., Corno, F., & De Russis, L.
- Affiliations
- Politecnico di Torino (IT)
- Department of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
- Corresponding author
- Corno, Fulvio
- Venue
- Buildings
- Publisher
- MDPI AG
- Published
- 2014-11-04
- Volume
- 4
- Issue
- 4
- Pages
- 880-910
- ISSN
- 2075-5309 (ISSN-L)
- OpenAlex
- W2017294333
- Cited by
- 15
- References
- 0
- Citations by year
- 2025: 3 · 2023: 1 · 2022: 2 · 2021: 1 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 1 · 2015: 2
- FWCI
- 0.89
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Buildings (publishedVersion, cc-by)
- PORTO@Iris (submittedVersion, cc-by)
- PORTO Publications Open Repository TOrino (Politecnico di Torino) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Regione Autonoma Valle d'Aosta
- Regione Piemonte
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
- Physical Sciences › Computer Science › Software › Model-Driven Software Engineering Techniques
- Physical Sciences › Computer Science › Software › Advanced Software Engineering Methodologies
- Keywords
- smart buildings, IT architecture, home automation, separation of concerns, smart gateway, model-driven engineering, semantic representation, design reuse, building automation, vertical integration
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