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Short paper: From streaming data to linked data. A case study with bike sharing systems
Cita
Calbimonte, Jean-Paul, García Castro, Raúl 
ORCID: https://orcid.org/0000-0002-0421-452X, Corcho, Oscar ORCID: https://orcid.org/0000-0002-9260-0753 and Ruckhaus, Edna
(2012).
Short paper: From streaming data to linked data. A case study with bike sharing systems.
En: "Proceedings of the 5th International Workshop on Semantic Sensor Networks (SSN 2012)", 10/11/2012 - 10/11/2012, Boston (Estados Unidos). pp. 109-114.
ORCID: https://orcid.org/0000-0002-0421-452X, Corcho, Oscar ORCID: https://orcid.org/0000-0002-9260-0753 and Ruckhaus, Edna
(2012).
Short paper: From streaming data to linked data. A case study with bike sharing systems.
En: "Proceedings of the 5th International Workshop on Semantic Sensor Networks (SSN 2012)", 10/11/2012 - 10/11/2012, Boston (Estados Unidos). pp. 109-114.
Descripción
| Título: | Short paper: From streaming data to linked data. A case study with bike sharing systems |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | Proceedings of the 5th International Workshop on Semantic Sensor Networks (SSN 2012) |
| Fechas del Evento: | 10/11/2012 - 10/11/2012 |
| Lugar del Evento: | Boston (Estados Unidos) |
| Título del Libro: | Proceedings of the 5th International Workshop on Semantic Sensor Networks |
| Fecha: | 2012 |
| Volumen: | 904 |
| Materias: | |
| ODS: | |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
Current methods and tools that support Linked Data publication have mainly focused so far on static data, without considering the growing amount of streaming data available on the Web. In this paper we describe a case study that involves the publication of static and streaming Linked Data for bike sharing systems and related entities. We describe some of the challenges that we have faced, the solutions that we have explored, the lessons that we have learned, and the opportunities that lie in the future for exploiting Linked Stream Data.
Más información
| ID de Registro: | 20390 |
|---|---|
| Identificador DC: | https://oa.upm.es/20390/ |
| Identificador OAI: | oai:oa.upm.es:20390 |
| URL Oficial: | http://ceur-ws.org/Vol-904/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 25 Oct 2013 15:02 |
| Ultima Modificación: | 02 Jul 2025 06:31 |
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