Abstract
Despite the proliferation of Internet-of-Things (IoT) platforms for building and deploying IoT applications in the cloud, there is still no easy way to integrate heterogeneous geographically and administratively dispersed sensors and IoT services in a semantically interoperable fashion. In this paper we provide an overview of the OpenIoT project, which has developed and provided a first-of-kind open source IoT platform enabling the semantic interoperability of IoT services in the cloud. At the heart of OpenIoT lies the W3C Semantic Sensor Networks (SSN) ontology, which provides a common standards-based model for representing physical and virtual sensors. OpenIoT includes also sensor middleware that eases the collection of data from virtually any sensor, while at the same time ensuring their proper semantic annotation. Furthermore, it offers a wide range of visual tools that enable the development and deployment of IoT applications with almost zero programming. Another key feature of OpenIoT is its ability to handle mobile sensors, thereby enabling the emerging wave of mobile crowd sensing applications. OpenIoT is currently supported by an active community of IoT researchers, while being extensively used for the development of IoT applications in areas where semantic interoperability is a major concern.
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References
Hassan, M.M., Song, B., Huh, E.-N.: A framework of sensor-cloud integration opportunities and challenges. In: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (ICUIMC 2009), pp. 618–626. ACM, New York (2009)
Blair, G.S., Paolucci, M., Grace, P., Georgantas, N.: Interoperability in complex distributed systems. In: Bernardo, M., Issarny, V. (eds.) SFM 2011. LNCS, vol. 6659, pp. 1–26. Springer, Heidelberg (2011)
Compton, M., et al.: The SSN ontology of the W3C semantic sensor network incubator group. J. Web Semant. 17, 25–32 (2012). Elsevier
Heath, T.: Linked data - welcome to the data network. IEEE Internet Comput. 15(6), 70–73 (2011). IEEE Press, New York
Aberer, K., Hauswirth, M., Salehi, A.: Infrastructure for data processing in large-scale interconnected sensor networks. In: International Conference on Mobile Data Management (MDM 2007), pp. 198–205. IEEE Press, New York (2007)
Black Duck Software: Black Duck Announces Open Source Rookies of the Year Winners, Press Release, January 2013
Serrano, M., Hauswirth, M., Soldatos, J.: Design principles for utility-driven services and cloud-based computing modelling for the internet of things. Int. J. Web Grid Serv. 10(2–3), 139–167 (2014). Inderscience Publishers, Geneva
Le Phuoc, D., Nguyen-Mau, H.Q., Parreira, J.X., Hauswirth, M.: A middleware framework for scalable management of linked streams. J. Web Semant. 16, 42–51 (2012). Elsevier
Pripužić, K., Podnar Žarko, I., Aberer, K.: Top-k/w publish/subscribe: a publish/subscribe model for continuous top-k processing over data streams. Inf. Syst. 39, 256–276 (2014). Elsevier
Antonić, A., Rožanković, K., Marjanović, M., Pripužić, K., Podnar Žarko, I.: A mobile crowdsensing ecosystem enabled by a cloud-based publish/subscribe middleware. In: 2014 International Conference on Future Internet of Things and Cloud (FiCloud), pp. 107–114. IEEE Press, New York (2014)
Acknowledgments
This work has been carried out in the scope of the OpenIoT project (http://openiot.eu). The authors acknowledge contributions from all partners of the project.
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Soldatos, J. et al. (2015). OpenIoT: Open Source Internet-of-Things in the Cloud. In: Podnar Žarko, I., Pripužić, K., Serrano, M. (eds) Interoperability and Open-Source Solutions for the Internet of Things. Lecture Notes in Computer Science(), vol 9001. Springer, Cham. https://doi.org/10.1007/978-3-319-16546-2_3
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DOI: https://doi.org/10.1007/978-3-319-16546-2_3
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