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. In: "International Workshop on Semantic Sensor Web, In conjunction with IC3K 2010", 27/10/2010 - 28/10/2010, Valencia, España. pp. 1-13.

Description

Title: Using SCXML to integrate semantic sensor information into context-aware user interfaces
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Workshop on Semantic Sensor Web, In conjunction with IC3K 2010
Event Dates: 27/10/2010 - 28/10/2010
Event Location: Valencia, España
Title of Book: Proceedings of the International Workshop on Semantic Sensor Web, In conjunction with IC3K 2010
Date: 2011
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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

More information

Item ID: 12938
DC Identifier: https://oa.upm.es/12938/
OAI Identifier: oai:oa.upm.es:12938
Official URL: http://www.ic3k.org/Abstracts/2010/WorkshopSSW_201...
Deposited by: Memoria Investigacion
Deposited on: 12 Dec 2012 16:21
Last Modified: 21 Apr 2016 12:15
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