Using SCXML to integrate semantic sensor information into context-aware user interfaces

Sigüenza Izquierdo, Álvaro, Blanco Murillo, José Luis ORCID: https://orcid.org/0000-0003-1659-0140, Bernat Vercher, Jesús and Hernández Gómez, Luis Alfonso ORCID: https://orcid.org/0000-0003-1481-9087 (2011). Using SCXML to integrate semantic sensor information into context-aware user interfaces. En: "International Workshop on Semantic Sensor Web, In conjunction with IC3K 2010", 27/10/2010 - 28/10/2010, Valencia, España. pp. 1-13.

Descripción

Título: Using SCXML to integrate semantic sensor information into context-aware user interfaces
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: International Workshop on Semantic Sensor Web, In conjunction with IC3K 2010
Fechas del Evento: 27/10/2010 - 28/10/2010
Lugar del Evento: Valencia, España
Título del Libro: Proceedings of the International Workshop on Semantic Sensor Web, In conjunction with IC3K 2010
Fecha: 2011
Materias:
ODS:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This paper describes a novel architecture to introduce automatic annotation and processing of semantic sensor data within context-aware applications. Based on the well-known state-charts technologies, and represented using W3C SCXML language combined with Semantic Web technologies, our architecture is able to provide enriched higher-level semantic representations of user’s context. This capability to detect and model relevant user situations allows a seamless modeling of the actual interaction situation, which can be integrated during the design of multimodal user interfaces (also based on SCXML) for them to be adequately adapted. Therefore, the final result of this contribution can be described as a flexible context-aware SCXML-based architecture, suitable for both designing a wide range of multimodal context-aware user interfaces, and implementing the automatic enrichment of sensor data, making it available to the entire Semantic Sensor Web

Más información

ID de Registro: 12938
Identificador DC: https://oa.upm.es/12938/
Identificador OAI: oai:oa.upm.es:12938
URL Oficial: http://www.ic3k.org/Abstracts/2010/WorkshopSSW_201...
Depositado por: Memoria Investigacion
Depositado el: 12 Dic 2012 16:21
Ultima Modificación: 21 Abr 2016 12:15