Semantic IoT for reasoning and BigData analytics
Recent developments in the IoT industries have led to an increase in data availability that is starting to weight heavily on the traditional idea of pushing data to the Cloud. This study focuses on identifying tasks that can be pulled from the Cloud in a semantic stream processing context.
| Autor: | |
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/121664 |
| Acceso en línea: | https://hdl.handle.net/2117/121664 |
| Access Level: | acceso abierto |
| Palabra clave: | Semantic Web Big data IoT edge computing cloud computing data stream reasoning event processing anomaly detection semantic web semantics Web semàntica Dades massives Àrees temàtiques de la UPC::Informàtica |
| Sumario: | Recent developments in the IoT industries have led to an increase in data availability that is starting to weight heavily on the traditional idea of pushing data to the Cloud. This study focuses on identifying tasks that can be pulled from the Cloud in a semantic stream processing context. |
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