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dc.contributor.authorElsaleh, Tarek
dc.contributor.authorEnshaeifar, Shirin
dc.contributor.authorRezvani, Roonak
dc.contributor.authorActon, Sahr Thomas
dc.contributor.authorJaneiko, Valentinas
dc.contributor.authorBermúdez Edo, María del Campo 
dc.date.accessioned2020-05-05T08:44:04Z
dc.date.available2020-05-05T08:44:04Z
dc.date.issued2020-02-11
dc.identifier.citationElsaleh, T., Enshaeifar, S., Rezvani, R., Acton, S. T., Janeiko, V., & Bermudez-Edo, M. (2020). IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams and Its Use with Data Analytics and Event Detection Services. Sensors, 20(4), 953.es_ES
dc.identifier.urihttp://hdl.handle.net/10481/61777
dc.description.abstractWith the proliferation of sensors and IoT technologies, stream data are increasingly stored and analysed, but rarely combined, due to the heterogeneity of sources and technologies. Semantics are increasingly used to share sensory data, but not so much for annotating stream data. Semantic models for stream annotation are scarce, as generally, semantics are heavy to process and not ideal for Internet of Things (IoT) environments, where the data are frequently updated. We present a light model to semantically annotate streams, IoT-Stream. It takes advantage of common knowledge sharing of the semantics, but keeping the inferences and queries simple. Furthermore, we present a system architecture to demonstrate the adoption the semantic model, and provide examples of instantiation of the system for different use cases. The system architecture is based on commonly used architectures in the field of IoT, such as web services, microservices and middleware. Our system approach includes the semantic annotations that take place in the pipeline of IoT services and sensory data analytics. It includes modules needed to annotate, consume, and query data annotated with IoT-Stream. In addition to this, we present tools that could be used in conjunction to the IoT-Stream model and facilitate the use of semantics in IoT.es_ES
dc.description.sponsorshipThis work has been funded by the EU Horizon 2020 Research and Innovation programme, through projects IoTCrawler (contract no. 779852) and ACTIVAGE (contract no. 732679).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/779852es_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectData modeles_ES
dc.subjectData streames_ES
dc.subjectSemantic modeles_ES
dc.subjectLinked dataes_ES
dc.titleIoT-Stream: A Lightweight Ontology for Internet of Things Data Streams and Its Use with Data Analytics and Event Detection Servicees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/s20040953


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Atribución 3.0 España
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