Memorias de investigación
Ponencias en congresos:
Deriving Semantic Sensor Metadata from Raw Measurements
Año:2012
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Sensor network deployments have become a primary source of big data about the real world that surrounds us, measuring a wide range of physical properties in real time. With such large amounts of heterogeneous data, a key challenge is to describe and annotate sensor data with high-level metadata, using and extending models, for instance with ontologies. However, to automate this task there is a need for enriching the sensor metadata using the actual observed measurements and extracting useful meta-information from them. This paper proposes a novel approach of characterization and extraction of semantic metadata through the analysis of sensor data raw observations. This approach consists in using approximations to represent the raw sensor measurements, based on distributions of the observation slopes, building a classi?cation scheme to automatically infer sensor metadata like the type of observed property, integrating the semantic analysis results with existing sensor networks metadata.
Internacional
Si
Nombre congreso
ISWC2012 5th International Workshop on Semantic Sensor Networks 2011 (SSN2012)
Tipo de participación
960
Lugar del congreso
Boston (Estados Unidos)
Revisores
Si
ISBN o ISSN
1613-0073
DOI
Fecha inicio congreso
10/11/2012
Fecha fin congreso
10/11/2012
Desde la página
33
Hasta la página
48
Título de las actas
CEUR Workshop Proceedings, Vol-904
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial