Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Design and Validation of a Light Inference System to Support Embedded Context Reasoning
Año:2012
Áreas de investigación
  • Tratamiento de datos
Datos
Descripción
Embedded context management in resource-constrained devices (e.g. mobile phones, autonomous sensors or smart objects) imposes special requirements in terms of lightness for data modelling and reasoning. In this paper, we explore the state-of-the-art on data representation and reasoning tools for embedded mobile reasoning and propose a light inference system (LIS) aiming at simplifying embedded inference processes offering a set of functionalities to avoid redundancy in context management operations. The system is part of a service-oriented mobile software framework, conceived to facilitate the creation of context-aware applications?it decouples sensor data acquisition and context processing from the application logic. LIS, composed of several modules, encapsulates existing lightweight tools for ontology data management and rule-based reasoning, and it is ready to run on Java-enabled handheld devices. Data management and reasoning processes are designed to handle a general ontology that enables communication among framework components. Both the applications running on top of the framework and the framework components themselves can configure the rule and query sets in order to retrieve the information they need from LIS. In order to test LIS features in a real application scenario, an ?Activity Monitor? has been designed and implemented: a personal health-persuasive application that provides feedback on the user?s lifestyle, combining data from physical and virtual sensors. In this case of use, LIS is used to timely evaluate the user?s activity level, to decide on the convenience of triggering notifications and to determine the best interface or channel to deliver these context-aware alerts.
Internacional
Si
JCR del ISI
Si
Título de la revista
Personal And Ubiquitous Computing
ISSN
1617-4909
Factor de impacto JCR
0,938
Información de impacto
Volumen
16
DOI
10.1007/s00779-011-0447-4
Número de revista
Desde la página
781
Hasta la página
797
Mes
OCTUBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Josue Iglesias Álvarez (UPM)
  • Autor: Ana Maria Bernardos Barbolla (UPM)
  • Autor: Paula Tarrío Alonso (UPM)
  • Autor: Jose Ramon Casar Corredera (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Procesado de Datos y Simulación (GPDS)-CEDITEC
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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