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ORCID: https://orcid.org/0000-0002-9260-0753 and Fernández García, Javier D.
(2014).
Towards efficient processing of RDF Data Streams.
En: "3rd International Workshop on Ordering and Reasoning", 20 Oct 2014, Riva del Garda, Italia. pp. 55-60.
| Título: | Towards efficient processing of RDF Data Streams |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 3rd International Workshop on Ordering and Reasoning |
| Fechas del Evento: | 20 Oct 2014 |
| Lugar del Evento: | Riva del Garda, Italia |
| Título del Libro: | OrdRing 2014 Ordering and Reasoning |
| Título de Revista/Publicación: | CEUR Workshop Proceedings |
| Fecha: | 2014 |
| ISSN: | 1613-0073 |
| Volumen: | 1303 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | RDF Stream Processing; Adaptive Query Processing; RDF Com- pression |
| Escuela: | E.T.S. de Ingenieros Informáticos (UPM) |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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In the last years, there has been an increase in the amount of real-time data generated. Sensors attached to things are transforming how we interact with our environment. Extracting meaningful information from these streams of data is essential for some application areas and requires processing systems that scale to varying conditions in data sources, complex queries, and system failures. This paper describes ongoing research on the development of a scalable RDF streaming engine.
| ID de Registro: | 36784 |
|---|---|
| Identificador DC: | https://oa.upm.es/36784/ |
| Identificador OAI: | oai:oa.upm.es:36784 |
| URL Oficial: | http://ceur-ws.org/Vol-1303/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 16 Mar 2016 12:23 |
| Ultima Modificación: | 30 Nov 2022 09:00 |
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